All Stories

  1. The clots removed from ischaemic stroke patients by mechanical thrombectomy are amyloid in nature
  2. Proteomic Evidence for Amyloidogenic Cross-Seeding in Fibrinaloid Microclots
  3. Vascular Pathogenesis in Acute and Long COVID: Current Insights and Therapeutic Outlook
  4. The Biology and Biochemistry of Kynurenic Acid, a Potential Nutraceutical with Multiple Biological Effects
  5. Proteomic evidence for amyloidogenic cross-seeding in fibrinaloid microclots
  6. Evidence for the Role of the Mitochondrial ABC Transporter MDL1 in the Uptake of Clozapine and Related Molecules into the Yeast Saccharomyces cerevisiae
  7. Flow Clotometry: Measuring Amyloid Microclots in ME/CFS, Long COVID, and Healthy Samples with Imaging Flow Cytometry
  8. Fibrinaloid Microclots and Atrial Fibrillation
  9. Herpesvirus Infection of Endothelial Cells as a Systemic Pathological Axis in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome
  10. Automated microscopic measurement of fibrinaloid microclots and their degradation by nattokinase, the main natto protease
  11. Uncertainties about the roles of anticoagulation and microclots in postacute sequelae of SARS-CoV-2 infection: comment from Kell et al.
  12. Possible Role of Fibrinaloid Microclots in Postural Orthostatic Tachycardia Syndrome (POTS): Focus on Long COVID
  13. Fibrinaloid Microclots and Atrial Fibrillation
  14. Herpesvirus Infection as a Systemic Pathological Axis in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome
  15. A Perspective on How Fibrinaloid Microclots and Platelet Pathology May be Applied in Clinical Investigations
  16. Are fibrinaloid microclots a cause of autoimmunity in Long Covid and other post-infection diseases?
  17. Hyperparameter optimisation in differential evolution using Summed Local Difference Strings, a rugged but easily calculated landscape for combinatorial search problems
  18. Relationship between the concentration of ergothioneine in plasma and the likelihood of developing pre-eclampsia
  19. Data sharing: A Long COVID perspective, challenges, and road map for the future
  20. Increased Levels of Inflammatory and Endothelial Biomarkers in Blood of Long COVID Patients Point to Thrombotic Endothelialitis
  21. Long COVID: pathophysiological factors and abnormalities of coagulation
  22. Treatment of Long COVID symptoms with triple anticoagulant therapy
  23. Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome
  24. Alzheimer’s Disease: A Systems View Provides a Unifying Explanation of Its Development
  25. Relationship between the concentration of ergothioneine in plasma and the likelihood of developing pre-eclampsia
  26. Understanding Functional Redundancy and Promiscuity of Multidrug Transporters in E. coli under Lipophilic Cation Stress
  27. Increased levels of inflammatory molecules in blood of Long COVID patients point to thrombotic endotheliitis
  28. Proteomics of fibrin amyloid microclots in long COVID/post-acute sequelae of COVID-19 (PASC) shows many entrapped pro-inflammatory molecules that may also contribute to a failed fibrinolytic system
  29. The potential role of ischaemia–reperfusion injury in chronic, relapsing diseases such as rheumatoid arthritis, Long COVID, and ME/CFS: evidence, mechanisms, and therapeutic implications
  30. Analysis of a Library of Escherichia coli Transporter Knockout Strains to Identify Transport Pathways of Antibiotics
  31. Prevalence of symptoms, comorbidities, fibrin amyloid microclots and platelet pathology in individuals with Long COVID/Post-Acute Sequelae of COVID-19 (PASC)
  32. The Occurrence of Hyperactivated Platelets and Fibrinaloid Microclots in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)
  33. The occurrence of hyperactivated platelets and fibrinaloid microclots in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)
  34. The occurrence of hyperactivated platelets and fibrinaloid microclots in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)
  35. Prevalence of symptoms, comorbidities, fibrin amyloid microclots and platelet pathology in individuals with Long COVID/ Post-Acute Sequelae of COVID-19 (PASC)
  36. A central role for amyloid fibrin microclots in long COVID/PASC: origins and therapeutic implications
  37. SpeedyGenesXL: an Automated, High-Throughput Platform for the Preparation of Bespoke Ultralarge Variant Libraries for Directed Evolution
  38. Combined triple treatment of fibrin amyloid microclots and platelet pathology in individuals with Long COVID/ Post-Acute Sequelae of COVID-19 (PASC) can resolve their persistent symptoms
  39. Engineering ergothioneine production in Yarrowia lipolytica
  40. MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules from Their Mass Spectra
  41. TEG®, Microclot and Platelet Mapping for Guiding Early Management of Severe COVID-19 Coagulopathy
  42. MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules From Their Mass Spectra
  43. Intelligent host engineering for metabolic flux optimisation in biotechnology
  44. Membrane Transporters Involved in the Antimicrobial Activities of Pyrithione in Escherichia coli
  45. The Transporter-Mediated Cellular Uptake and Efflux of Pharmaceutical Drugs and Biotechnology Products: How and Why Phospholipid Bilayer Transport Is Negligible in Real Biomembranes
  46. Persistent clotting protein pathology in Long COVID/Post-Acute Sequelae of COVID-19 (PASC) is accompanied by increased levels of antiplasmin
  47. SARS-CoV-2 spike protein S1 induces fibrin(ogen) resistant to fibrinolysis: implications for microclot formation in COVID-19
  48. A decision-tree approach to treat platelet hyperactivity and anomalous blood clotting in acute COVID-19 patients
  49. MassGenie: a transformer-based deep learning method for identifying small molecules from their mass spectra
  50. Persistent clotting protein pathology in Long COVID/ Post-Acute Sequelae of COVID-19 (PASC) is accompanied by increased levels of antiplasmin
  51. FragNet, a Contrastive Learning-Based Transformer Model for Clustering, Interpreting, Visualizing, and Navigating Chemical Space
  52. SARS-CoV-2 spike protein S1 induces fibrin(ogen) resistant to fibrinolysis: Implications for microclot formation in COVID-19
  53. A palette of fluorophores that are differentially accumulated by wild-type and mutant strains of Escherichia coli: surrogate ligands for profiling bacterial membrane transporters
  54. Iron Dysregulation and Inflammagens Related to Oral and Gut Health Are Central to the Development of Parkinson’s Disease
  55. Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome
  56. Deep learning and generative methods in cheminformatics and chemical biology: navigating small molecule space intelligently
  57. Structural Similarities between Some Common Fluorophores Used in Biology, Marketed Drugs, Endogenous Metabolites, and Natural Products
  58. Prevalence of readily detected amyloid blood clots in ‘unclotted’ Type 2 Diabetes Mellitus and COVID-19 plasma: a preliminary report
  59. Bacteria, Lipopolysaccharides, Amyloid and the Role of Iron Dysregulation in Parkinson’s Disease
  60. Erythrocyte, Platelet, Serum Ferritin, and P-Selectin Pathophysiology Implicated in Severe Hypercoagulation and Vascular Complications in COVID-19
  61. DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach
  62. A Quantitative Survey of Bacterial Persistence in the Presence of Antibiotics: Towards Antipersister Antimicrobial Discovery
  63. DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach
  64. Prevalence of amyloid blood clots in COVID-19 plasma
  65. VAE-Sim: A Novel Molecular Similarity Measure Based on a Variational Autoencoder
  66. Covid-19: The Rollercoaster of Fibrin(Ogen), D-Dimer, Von Willebrand Factor, P-Selectin and Their Interactions with Endothelial Cells, Platelets and Erythrocytes
  67. COVID-19: The Rollercoaster of Fibrin(ogen), D-dimer, von Willebrand Factor, P-selectin and Their Interactions with Endothelial Cells, Platelets and Erythrocytes
  68. VAE-Sim: a novel molecular similarity measure based on a variational autoencoder
  69. A palette of fluorophores that are differentially accumulated by wild-type and mutant strains of Escherichia coli: surrogate ligands for bacterial membrane transporters
  70. DeepGraphMol, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach
  71. An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines
  72. The Atypical Fibrin Fibre Network in Rheumatoid Arthritis and its Relation to Autoimmunity, Inflammation and Thrombosis
  73. DeepGraphMol, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach
  74. Author Correction: Hitchhiking into the cell
  75. Hitchhiking into the cell
  76. The biology of ergothioneine, an antioxidant nutraceutical
  77. Why most transporter mutations that cause antibiotic resistance are to efflux pumps rather than to import transporters
  78. The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data
  79. Structural similarities between some common fluorophores used in biology and marketed drugs, endogenous metabolites, and natural products
  80. Involvement of multiple influx and efflux transporters in the accumulation of cationic fluorescent dyes by Escherichia coli
  81. A brain-permeable inhibitor of the neurodegenerative disease target kynurenine 3-monooxygenase prevents accumulation of neurotoxic metabolites
  82. GeneORator: An Effective Strategy for Navigating Protein Sequence Space More Efficiently through Boolean OR-Type DNA Libraries
  83. Parkinson’s disease: a systemic inflammatory disease accompanied by bacterial inflammagens
  84. Involvement of multiple influx and efflux transporters in the accumulation of cationic fluorescent dyes by Escherichia coli
  85. Very rapid flow cytometric assessment of antimicrobial susceptibility during the apparent lag phase of microbial (re)growth
  86. Serum amyloid A binds to fibrin(ogen), promoting fibrin amyloid formation
  87. Bacterial Dysbiosis and Translocation in Psoriasis Vulgaris
  88. Iron Dysregulation and Dormant Microbes as Causative Agents for Impaired Blood Rheology and Pathological Clotting in Alzheimer’s Type Dementia
  89. Correlative Light-Electron Microscopy detects lipopolysaccharide and its association with fibrin fibres in Parkinson’s Disease, Alzheimer’s Disease and Type 2 Diabetes Mellitus
  90. The Potential of LPS-Binding Protein to Reverse Amyloid Formation in Plasma Fibrin of Individuals With Alzheimer-Type Dementia
  91. An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals
  92. Energetic evolution of cellular Transportomes
  93. No effects without causes: the Iron Dysregulation and Dormant Microbes hypothesis for chronic, inflammatory diseases
  94. Belief Book
  95. Control of metabolite efflux in microbial cell factories: current advances and future prospects
  96. Lipopolysaccharide-binding protein (LBP) can reverse the amyloid state of fibrin seen or induced in Parkinson's disease
  97. PartsGenie: an integrated tool for optimizing and sharing synthetic biology parts
  98. Selenzyme: enzyme selection tool for pathway design
  99. Both lipopolysaccharide and lipoteichoic acids potently induce anomalous fibrin amyloid formation: assessment with novel Amytracker™ stains
  100. GeneGini: Assessment via the Gini Coefficient of Reference “Housekeeping” Genes and Diverse Human Transporter Expression Profiles
  101. Engineering the “Missing Link” in Biosynthetic (−)-Menthol Production: Bacterial Isopulegone Isomerase
  102. Immunological Tolerance, Pregnancy, and Preeclampsia: The Roles of Semen Microbes and the Father†
  103. Fast and Flexible Synthesis of Combinatorial Libraries for Directed Evolution
  104. Ultra-high throughput functional enrichment of large monoamine oxidase (MAO-N) libraries by fluorescence activated cell sorting
  105. Analysing and Navigating Natural Products Space for Generating Small, Diverse, But Representative Chemical Libraries
  106. Substantial fibrin amyloidogenesis in type 2 diabetes assessed using amyloid-selective fluorescent stains
  107. Immunological tolerance, pregnancy and pre-eclampsia: the roles of semen microbes and the father
  108. PartsGenie: an integrated tool for optimising and sharing synthetic biology parts
  109. Selenzyme: Enzyme selection tool for pathway design
  110. A Metabolic Reaction Balancing Web Service for Computational Systems Biology
  111. Lipopolysaccharide-binding protein (LBP) reverses the amyloid state of fibrin seen in plasma of type 2 diabetics with cardiovascular co-morbidities
  112. Stability in metabolic phenotypes and inferred metagenome profiles before the onset of colitis-induced inflammation
  113. To What Extent Are the Terminal Stages of Sepsis, Septic Shock, Systemic Inflammatory Response Syndrome, and Multiple Organ Dysfunction Syndrome Actually Driven by a Prion/Amyloid Form of Fibrin?
  114. biochem4j: Integrated and extensible biochemical knowledge through graph databases
  115. CodonGenie: optimised ambiguous codon design tools
  116. Mass spectrometry imaging shows major derangements in neurogranin and in purine metabolism in the triple-knockout 3×Tg Alzheimer mouse model
  117. Novel ‘housekeeping’ genes and an unusually heterogeneous distribution of transporter expression profiles in human tissues and cell lines, assessed using the Gini coefficient
  118. Consensus rank orderings of molecular fingerprints illustrate the most genuine similarities between marketed drugs and small endogenous human metabolites, but highlight exogenous natural products as the most important ‘natural’ drug transporter substrates
  119. Both Lipopolysaccharide And Lipoteichoic Acids Potently Induce Anomalous Fibrin Amyloid Formation: Assessment With Novel Amytracker™ Stains
  120. Lipopolysaccharide-Binding Protein (LBP) Can Reverse The Amyloid State Of Fibrin Seen Or Induced In Parkinson's Disease: Implications For Its Aetiology
  121. Evolutionary algorithms and synthetic biology for directed evolution: commentary on “on the mapping of genotype to phenotype in evolutionary algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
  122. Enhancing Drug Efficacy and Therapeutic Index through Cheminformatics-Based Selection of Small Molecule Binary Weapons That Improve Transporter-Mediated Targeting: A Cytotoxicity System Based on Gemcitabine
  123. Analysis of drug–endogenous human metabolite similarities in terms of their maximum common substructures
  124. Computing exponentially faster: implementing a non-deterministic universal Turing machine using DNA
  125. Consensus rank orderings of molecular fingerprints illustrate the most genuine similarities between marketed drugs and small endogenous human metabolites, but highlight exogenous natural products as the most important natural drug transporter substrate...
  126. Major involvement of bacterial components in rheumatoid arthritis and its accompanying oxidative stress, systemic inflammation and hypercoagulability
  127. Commentary on “Goodacre R, Timmins ÉM, Rooney PJ, Rowland JJ, Kell DB: Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform in...
  128. SYNBIOCHEM Synthetic Biology Research Centre, Manchester – A UK foundry for fine and speciality chemicals production
  129. A Dormant Microbial Component in the Development of Preeclampsia
  130. SpeedyGenes: Exploiting an Improved Gene Synthesis Method for the Efficient Production of Synthetic Protein Libraries for Directed Evolution
  131. Acute induction of anomalous and amyloidogenic blood clotting by molecular amplification of highly substoichiometric levels of bacterial lipopolysaccharide
  132. The metabolome 18 years on: a concept comes of age
  133. MetMaxStruct: A Tversky-Similarity-Based Strategy for Analysing the (Sub)Structural Similarities of Drugs and Endogenous Metabolites
  134. A Bacterial Component to Alzheimer’s-Type Dementia Seen via a Systems Biology Approach that Links Iron Dysregulation and Inflammagen Shedding to Disease
  135. Proteins behaving badly. Substoichiometric molecular control and amplification of the initiation and nature of amyloid fibril formation: lessons from and for blood clotting
  136. SYNBIOCHEM-a SynBio foundry for the biosynthesis and sustainable production of fine and speciality chemicals
  137. Recon 2.2: from reconstruction to model of human metabolism
  138. Microbes and Alzheimer’s Disease
  139. Response to ‘The Need for Speed’, by Matsson et al.
  140. Implications of endogenous roles of transporters for drug discovery: hitchhiking and metabolite-likeness
  141. The transporter-mediated cellular uptake of pharmaceutical drugs is based on their metabolite-likeness and not on their bulk biophysical properties: Towards a systems pharmacology
  142. The apparent permeabilities of Caco-2 cells to marketed drugs: magnitude, and independence from both biophysical properties and endogenite similarities
  143. Viscoelastic and ultrastructural characteristics of whole blood and plasma in Alzheimer-type dementia, and the possible role of bacterial lipopolysaccharides (LPS)
  144. Fitting Transporter Activities to Cellular Drug Concentrations and Fluxes: Why the Bumblebee Can Fly
  145. On the translocation of bacteria and their lipopolysaccharides between blood and peripheral locations in chronic, inflammatory diseases: the central roles of LPS and LPS-induced cell death
  146. Individuality, phenotypic differentiation, dormancy and ‘persistence’ in culturable bacterial systems: commonalities shared by environmental, laboratory, and clinical microbiology
  147. Software review: the KNIME workflow environment and its applications in genetic programming and machine learning
  148. Individuality, phenotypic differentiation, dormancy and ‘persistence’ in culturable bacterial systems: commonalities shared by environmental, laboratory, and clinical microbiology
  149. Understanding the foundations of the structural similarities between marketed drugs and endogenous human metabolites
  150. The dormant blood microbiome in chronic, inflammatory diseases
  151. Membrane transporter engineering in industrial biotechnology and whole cell biocatalysis
  152. The simultaneous occurrence of both hypercoagulability and hypofibrinolysis in blood and serum during systemic inflammation, and the roles of iron and fibrin(ogen)
  153. Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently
  154. What would be the observable consequences if phospholipid bilayer diffusion of drugs into cells is negligible?
  155. Poorly controlled type 2 diabetes is accompanied by significant morphological and ultrastructural changes in both erythrocytes and in thrombin-generated fibrin: implications for diagnostics
  156. The virtue of innovation: innovation through the lenses of biological evolution
  157. Alignment by numbers: sequence assembly using compressed numerical representations
  158. Corrigendum to “Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery” [Drug Discov. Today 19 (2014), 171–182
  159. How drugs get into cells: tested and testable predictions to help discriminate between transporter-mediated uptake and lipoidal bilayer diffusion
  160. Eryptosis as a marker of Parkinson's disease
  161. Erratum to: A ‘rule of 0.5’ for the metabolite-likeness of approved pharmaceutical drugs
  162. A ‘rule of 0.5’ for the metabolite-likeness of approved pharmaceutical drugs
  163. Evidence That Multiple Defects in Lipid Regulation Occur before Hyperglycemia during the Prodrome of Type-2 Diabetes
  164. SpeedyGenes: an improved gene synthesis method for the efficient production of error-corrected, synthetic protein libraries for directed evolution
  165. Molecular phenotyping of a UK population: defining the human serum metabolome
  166. Event-based text mining for biology and functional genomics
  167. GeneGenie: optimized oligomer design for directed evolution
  168. Controlled vocabularies and semantics in systems biology
  169. Resuscitation of “Uncultured” Microorganisms
  170. Mental health: Drug search on risky path
  171. Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery
  172. Profound Morphological Changes in the Erythrocytes and Fibrin Networks of Patients with Hemochromatosis or with Hyperferritinemia, and Their Normalization by Iron Chelators and Other Agents
  173. Diagnostic morphology: biophysical indicators for iron-driven inflammatory diseases
  174. Yeast cells with impaired drug resistance accumulate glycerol and glucose
  175. Serum ferritin is an important inflammatory disease marker, as it is mainly a leakage product from damaged cells
  176. An analysis of a ‘community-driven’ reconstruction of the human metabolic network
  177. A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes
  178. A method for integrating and ranking the evidence for biochemical pathways by mining reactions from text
  179. Finding novel pharmaceuticals in the systems biology era using multiple effective drug targets, phenotypic screening and knowledge of transporters: where drug discovery went wrong and how to fix it
  180. A novel method for assessing the role of iron and its functional chelation in fibrin fibril formation: the use of scanning electron microscopy
  181. Genetics and iron in the systems biology of Parkinson’s disease and some related disorders
  182. A community-driven global reconstruction of human metabolism
  183. The promiscuous binding of pharmaceutical drugs and their transporter-mediated uptake into cells: what we (need to) know and how we can do so
  184. Kinetic Parameter Information Resource, KiPar
  185. High ferritin levels have major effects on the morphology of erythrocytes in Alzheimer's disease
  186. Path2Models: large-scale generation of computational models from biochemical pathway maps
  187. Exploiting Genomic Knowledge in Optimising Molecular Breeding Programmes: Algorithms from Evolutionary Computing
  188. Reviews turn facts into understanding
  189. Extracting semantically enriched events from biomedical literature
  190. Large-scale sequestration of atmospheric carbon via plant roots in natural and agricultural ecosystems: why and how
  191. A systematic survey of the response of a model NF-
  192. Genome-wide analysis of longevity in nutrient-deprived Saccharomyces cerevisiae reveals importance of recycling in maintaining cell viability
  193. Scientific discovery as a combinatorial optimisation problem: How best to navigate the landscape of possible experiments?
  194. Short- and long-term dynamic responses of the metabolic network and gene expression in yeast to a transient change in the nutrient environment
  195. The genetic control of growth rate: a systems biology study in yeast
  196. Improving metabolic flux predictions using absolute gene expression data
  197. Automated workflows for accurate mass-based putative metabolite identification in LC/MS-derived metabolomic datasets
  198. Efficient discovery of anti-inflammatory small-molecule combinations using evolutionary computing
  199. Absolute Quantification of the Glycolytic Pathway in Yeast:: DEPLOYMENT OF A COMPLETE QconCAT APPROACH
  200. Concussion's impact
  201. The metabolome of human placental tissue: investigation of first trimester tissue and changes related to preeclampsia in late pregnancy
  202. Breeding crop plants with deep roots: their role in sustainable carbon, nutrient and water sequestration
  203. Pharmaceutical drug transport: the issues and the implications that it is essentially carrier-mediated only
  204. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry
  205. Metabolic Profiling Uncovers a Phenotypic Signature of Small for Gestational Age in Early Pregnancy
  206. Defrosting the Digital Library
  207. Automated workflows for accurate mass-based putative metabolite identification in LC/MS-derived metabolomic datasets
  208. Interactions among oscillatory pathways in NF-kappa B signaling
  209. Predicting the points of interaction of small molecules in the NF-κB pathway
  210. Genome-wide assessment of the carriers involved in the cellular uptake of drugs: a model system in yeast
  211. Metabolites do social networking
  212. Systematic integration of experimental data and models in systems biology
  213. Mining metabolites: extracting the yeast metabolome from the literature
  214. Changes in the Metabolic Footprint of Placental Explant-Conditioned Medium Cultured in Different Oxygen Tensions from Placentas of Small for Gestational Age and Normal Pregnancies
  215. Robust Early Pregnancy Prediction of Later Preeclampsia Using Metabolomic Biomarkers
  216. Utopia documents: linking scholarly literature with research data
  217. Convergent evolution to an aptamer observed in small populations on DNA microarrays
  218. Towards a unifying, systems biology understanding of large-scale cellular death and destruction caused by poorly liganded iron: Parkinson’s, Huntington’s, Alzheimer’s, prions, bactericides, chemical toxicology and others as examples
  219. Enzyme kinetics informatics: from instrument to browser
  220. Predictive models for population performance on real biological fitness landscapes
  221. Event extraction for systems biology by text mining the literature
  222. Arcadia: a visualization tool for metabolic pathways
  223. Further developments towards a genome-scale metabolic model of yeast
  224. Calling International Rescue: knowledge lost in literature and data landslide!
  225. Real-time vapour sensing using an OFET-based electronic nose and genetic programming
  226. Changes in the Metabolic Footprint of Placental Explant-Conditioned Culture Medium Identifies Metabolic Disturbances Related to Hypoxia and Pre-Eclampsia
  227. Erratum: The Systems Biology Graphical Notation
  228. Development and Performance of a Gas Chromatography−Time-of-Flight Mass Spectrometry Analysis for Large-Scale Nontargeted Metabolomic Studies of Human Serum
  229. Journal club
  230. The Systems Biology Graphical Notation
  231. Analysis of a complete DNA-protein affinity landscape
  232. Aptamer evolution for array-based diagnostics
  233. Serum Metabolite Biomarkers In Alzheimer's Disease
  234. Visualising biological data: a semantic approach to tool and database integration
  235. Pulsatile Stimulation Determines Timing and Specificity of NF- B-Dependent Transcription
  236. Low cost, portable, fast multiparameter data acquisition system for organic transistor odour sensors
  237. Systems approach
  238. Dormant microbes: time to revive some old ideas
  239. KiPar, a tool for systematic information retrieval regarding parameters for kinetic modelling of yeast metabolic pathways
  240. In silico modelling of directed evolution: Implications for experimental design and stepwise evolution
  241. Scientific Abstracts
  242. Development of a Robust and Repeatable UPLC−MS Method for the Long-Term Metabolomic Study of Human Serum
  243. Anaesthetic function
  244. Implications of the Dominant Role of Transporters in Drug Uptake by Cells (Supplementary Material)
  245. Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases
  246. Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics
  247. Optimal construction of a fast and accurate polarisable water potential based on multipole moments trained by machine learning
  248. Analysis of aptamer sequence activity relationships
  249. ‘Metabolite-likeness’ as a criterion in the design and selection of pharmaceutical drug libraries
  250. Deterministic mathematical models of the cAMP pathway in Saccharomyces cerevisiae
  251. Information management for high content live cell imaging
  252. Array-based evolution of DNA aptamers allows modelling of an explicit sequence-fitness landscape
  253. Progress being made on standards for use in data sharing
  254. Sensitivity analysis and robust experimental design of a signal transduction pathway system
  255. Defrosting the Digital Library: Bibliographic Tools for the Next Generation Web
  256. A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology
  257. Performing statistical analyses on quantitative data in Taverna workflows: An example using R and maxdBrowse to identify differentially-expressed genes from microarray data
  258. Metabolic profiling of serum using Ultra Performance Liquid Chromatography and the LTQ-Orbitrap mass spectrometry system
  259. Analysis of the Metabolic Footprint and Tissue Metabolome of Placental Villous Explants Cultured at Different Oxygen Tensions Reveals Novel Redox Biomarkers
  260. Detection and Identification of Novel Metabolomic Biomarkers in Preeclampsia
  261. The markup is the model: Reasoning about systems biology models in the Semantic Web era
  262. Facilitating the development of controlled vocabularies for metabolomics technologies with text mining
  263. Bayesian inference of the sites of perturbations in metabolic pathways via Markov chain Monte Carlo
  264. Carrier-mediated cellular uptake of pharmaceutical drugs: an exception or the rule?
  265. Comparative evaluation of software for deconvolution of metabolomics data based on GC-TOF-MS
  266. A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols
  267. Information-theoretic sensitivity analysis: a general method for credit assignment in complex networks
  268. Proximate parameter tuning for biochemical networks with uncertain kinetic parameters
  269. The landscape adaptive particle swarm optimizer
  270. Rapid prediction of optimum population size in genetic programming using a novel genotype -
  271. Identification and characterization of high-flux-control genes of yeast through competition analyses in continuous cultures
  272. Metabolite profiles of interacting mycelial fronts differ for pairings of the wood decay basidiomycete fungus, Stereum hirsutum with its competitors Coprinus micaceus and Coprinus disseminatus
  273. Automated manipulation of systems biology models using libSBML within Taverna workflows
  274. Something from nothing − bridging the gap between constraint-based and kinetic modelling
  275. Transcriptional and metabolic response of Saccharomyces cerevisiae to a nutritional perturbation when under stress
  276. Proposed minimum reporting standards for data analysis in metabolomics
  277. Metabolic footprinting as a tool for discriminating between brewing yeasts
  278. Metabolomic biomarkers: search, discovery and validation
  279. Improving Data Fitting of a Signal Transduction Model by Global Sensitivity Analysis
  280. Serum metabolomics reveals many novel metabolic markers of heart failure, including pseudouridine and 2-oxoglutarate
  281. Towards a mathematical model of the cAMP pathway in S. cerevisiae
  282. Multiobjective Optimization in Bioinformatics and Computational Biology
  283. The methodologies of systems biology
  284. The virtual human: Towards a global systems biology of multiscale, distributed biochemical network models
  285. Peptide detectability following ESI mass spectrometry
  286. Growth control of the eukaryote cell: a systems biology study in yeast
  287. Automated tracking of gene expression in individual cells and cell compartments
  288. Closed-Loop, Multiobjective Optimization of Two-Dimensional Gas Chromatography/Mass Spectrometry for Serum Metabolomics
  289. Systems biology, metabolic modelling and metabolomics in drug discovery and development
  290. Text mining and its potential applications in systems biology
  291. Statistical strategies for avoiding false discoveries in metabolomics and related experiments
  292. Metabolomics: The new science of metabolic integration
  293. Automatic tracking of biological cells and compartments using particle filters and active contours
  294. The Role of Modeling in Systems Biology
  295. Metabolomics, modelling and machine learning in systems biology - towards an understanding of the languages of cells. Delivered on 3 July 2005 at the 30th FEBS Congress and 9th IUBMB conference in Budapest
  296. Huntington disease patients and transgenic mice have similar pro-catabolic serum metabolite profiles
  297. Insights into the behaviour of systems biology models from dynamic sensitivity and identifiability analysis: a case study of an NF-κB signalling pathway
  298. Muralytic activity of Micrococcus luteus Rpf and its relationship to physiological activity in promoting bacterial growth and resuscitation
  299. Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops
  300. Novel biomarkers for pre-eclampsia detected using metabolomics and machine learning
  301. A laser desorption ionisation mass spectrometry approach for high throughput metabolomics
  302. Metabolic footprinting and systems biology: the medium is the message
  303. A general model of error-prone PCR
  304. Metabolomics, machine learning and modelling: towards an understanding of the language of cells
  305. Computational cluster validation in post-genomic data analysis
  306. A metabolome pipeline: from concept to data to knowledge
  307. Closed-Loop, Multiobjective Optimization of Analytical Instrumentation:  Gas Chromatography/Time-of-Flight Mass Spectrometry of the Metabolomes of Human Serum and of Yeast Fermentations
  308. Synergistic control of oscillations in the NF-B signalling pathway
  309. Vacuum packing: a model system for laboratory-scale silage fermentations
  310. A proposed framework for the description of plant metabolomics experiments and their results
  311. Differentiation of Micromonospora Isolates from a Coastal Sediment in Wales on the Basis of Fourier Transform Infrared Spectroscopy, 16S rRNA Sequence Analysis, and the Amplified Fragment Length Polymorphism Technique
  312. Oscillations in NF- B Signaling Control the Dynamics of Gene Expression
  313. Discrimination of Modes of Action of Antifungal Substances by Use of Metabolic Footprinting
  314. OBSERVED DYNAMICS OF LARGE SCALE PARALLEL EVOLUTIONARY ALGORITHMS WITH IMPLICATIONS FOR PROTEIN ENGINEERING
  315. Selective Detection of Proteins in Mixtures Using Electrospray Ionization Mass Spectrometry:  Influence of Instrumental Settings and Implications for Proteomics
  316. Estimation of Microbial Viability Using Flow Cytometry
  317. Metabolomics and systems biology: making sense of the soup
  318. Sensitivity analysis of parameters controlling oscillatory signalling in the NF-κB pathway: the roles of IKK and IκBα
  319. Metabolomics by numbers: acquiring and understanding global metabolite data
  320. Metabolomics by numbers: acquiring and understanding global metabolite data
  321. Single-nucleotide polymorphism detection using nanomolar nucleotides and single-molecule fluorescence
  322. High-Throughput Metabolic Fingerprinting of Legume Silage Fermentations via Fourier Transform Infrared Spectroscopy and Chemometrics
  323. Functional genomic hypothesis generation and experimentation by a robot scientist
  324. Fast automatic registration of images using the phase of a complex wavelet transform: application to proteome gels
  325. Comparative Genomic Assessment of Novel Broad-Spectrum Targets for Antibacterial Drugs
  326. Explanatory Optimization of Protein Mass Spectrometry via Genetic Search
  327. High-throughput classification of yeast mutants for functional genomics using metabolic footprinting
  328. A systematic approach to modeling, capturing, and disseminating proteomics experimental data
  329. Evolutionary Computation for the Interpretation of Metabolomic Data
  330. Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era
  331. Adoption of the transiently non-culturable state — a bacterial survival strategy?
  332. Functional Genomics via Metabolic Footprinting: Monitoring Metabolite Secretion byEscherichia coliTryptophan Metabolism Mutants Using FT–IR and Direct Injection Electrospray Mass Spectrometry
  333. Primary and secondary metabolism, and post-translational protein modifications, as portrayed by proteomic analysis of Streptomyces coelicolor
  334. Genotype–phenotype mapping: genes as computer programs
  335. A family of autocrine growth factors in Mycobacterium tuberculosis
  336. The rpf gene of Micrococcus luteus encodes an essential secreted growth factor
  337. Metabolic profiling using direct infusion electrospray ionisation mass spectrometry for the characterisation of olive oils
  338. Schemes of flux control in a model of Saccharomyces cerevisiae glycolysis
  339. Monitoring of complex industrial bioprocesses for metabolite concentrations using modern spectroscopies and machine learning: Application to gibberellic acid production
  340. Rapid and Quantitative Detection of the Microbial Spoilage of Meat by Fourier Transform Infrared Spectroscopy and Machine Learning
  341. Monitoring of complex industrial bioprocesses for metabolite concentrations using modern spectroscopies and machine learning: Application to gibberellic acid production
  342. The Cytochrome P450 Complement (CYPome) of Streptomyces coelicolor A3(2)
  343. Flow-injection electrospray ionization mass spectrometry of crude cell extracts for high-throughput bacterial identification
  344. Differentiation of Phytophthora infestans Sporangia from Other Airborne Biological Particles by Flow Cytometry
  345. Comprehensive Natural Products Chemistry, Volume 4: Amino Acids, Peptides, Porphyrins and Alkaloids
  346. Sample preparation in matrix-assisted laser desorption/ionization mass spectrometry of whole bacterial cells and the detection of high mass (>20?kDa) proteins
  347. Histometrics: Improvement of the dynamic range of fluorescently stained proteins resolved in electrophoretic gels using hyperspectral imaging
  348. Histometrics: Improvement of the dynamic range of fluorescently stained proteins resolved in electrophoretic gels using hyperspectral imaging
  349. Discrimination of Aerobic Endospore-forming Bacteria via Electrospray-Ionization Mass Spectrometry of Whole Cell Suspensions
  350. Genomic Computing. Explanatory Analysis of Plant Expression Profiling Data Using Machine Learning
  351. Chemometric criteria for the characterisation of Italian Protected Denomination of Origin (DOP) olive oils from their metabolic profiles
  352. Chemometric criteria for the characterisation of Italian Protected Denomination of Origin (DOP) olive oils from their metabolic profiles
  353. MEG (Model Extender for Gepasi): a program for the modelling of complex, heterogeneous, cellular systems
  354. Macromolecular interactions: tracing the roots
  355. Culturability of Mycobacterium tuberculosis cells isolated from murine macrophages: a bacterial growth factor promotes recovery
  356. Culturability of Mycobacterium tuberculosis cells isolated from murine macrophages: a bacterial growth factor promotes recovery
  357. On-Line, Real-Time Measurements of Cellular Biomass using Dielectric Spectroscopy
  358. Bacterial dormancy and culturability: the role of autocrine growth factors Commentary
  359. Screen idols: faster, smaller, cheaper and smarter
  360. Efficient Improvement of Silage Additives by Using Genetic Algorithms
  361. On the optimization of classes for the assignment of unidentified reading frames in functional genomics programmes: the need for machine learning
  362. Non-linear dielectric spectroscopy: antifouling and stabilisation of electrodes by a polymer coating
  363. Correction of the influence of baseline artefacts and electrode polarisation on dielectric spectra
  364. Snapshots of Systems
  365. The use of nonlinear dielectric spectroscopy to monitor the bioelectromagnetic effects of a weak pulsed magnetic field in real time
  366. The use of nonlinear dielectric spectroscopy to monitor the bioelectromagnetic effects of a weak pulsed magnetic field in real time
  367. Dormancy in Non-Sporulating Bacteria: Its Significance for Environmental Monitoring
  368. A Portable Flow Cytometer for the Detection and Identification of Microorganisms
  369. Intelligent Systems for the Characterization of Microorganisms from Hyperspectral Data
  370. Detection of the Dipicolinic Acid Biomarker in Bacillus Spores Using Curie-Point Pyrolysis Mass Spectrometry and Fourier Transform Infrared Spectroscopy
  371. Intelligent systems for the characterization and quantification of microbial systems from advanced analytical techniques
  372. Noninvasive, On-Line Monitoring of the Biotransformation by Yeast of Glucose to Ethanol Using Dispersive Raman Spectroscopy and Chemometrics
  373. Use of 13 C nuclear magnetic resonance distortionless enhancement by polarization transfer pulse sequence and multivariate analysis to discriminate olive oil cultivars
  374. Rapid analysis of the expression of heterologous proteins in Escherichia coli using pyrolysis mass spectrometry and Fourier transform infrared spectroscopy with chemometrics: application to α2-interferon production
  375. Characterisation of intact microorganisms using electrospray ionisation mass spectrometry
  376. Characterisation of intact microorganisms using electrospray ionisation mass spectrometry
  377. Stimulation of the multiplication of Micrococcus luteus by an autocrine growth factor
  378. Genetic programming as an analytical tool for non-linear dielectric spectroscopy
  379. Screensavers: trends in high-throughput analysis
  380. Variable selection and multivariate methods for the identification of microorganisms by flow cytometry
  381. A weak pulsed magnetic field affects adenine nucleotide oscillations, and related parameters in aggregating Dictyostelium discoideum amoebae
  382. Revolutionary ideas come round again
  383. Estimation of Microbial Viability Using Flow Cytometry
  384. From code to mode for orphan genes
  385. Non-linear optimization of biochemical pathways: applications to metabolic engineering and parameter estimation
  386. Variable Selection in Discriminant Partial Least-Squares Analysis
  387. Systematic functional analysis of the yeast genome
  388. The influence of electrode polarisation on dielectric spectra, with special reference to capacitive biomass measurements:
  389. The influence of electrode polarisation on dielectric spectra, with special reference to capacitive biomass measurements
  390. A bacterial cytokine
  391. Quantification of microbial productivity via multi-angle light scattering and supervised learning
  392. Variable selection in wavelet regression models
  393. The effect of heteroscedastic noise on the chemometric modelling of frequency domain data
  394. Rapid analysis of microbial systems using vibrational spectroscopy and supervised learning methods: application to the discrimination between methicillin-resistant and methicillin-susceptible Staphy
  395. Dielectric estimation of microbial biomass using the Aber Instruments Biomass Monitor
  396. The deconvolution of pyrolysis mass spectra using genetic programming: application to the identification of some Eubacterium species
  397. The deconvolution of pyrolysis mass spectra using genetic programming: application to the identification of some Eubacterium species
  398. A DRASTIC (Diffuse Reflectance Absorbance Spectroscopy Taking in Chemometrics) approach for the rapid analysis of microbial fermentation products: Quantification of aristeromycin and neplanocin A in Streptomyces citricolor broths
  399. DRASTIC(Diffuse Reflectance Absorbance Spectroscopy Taking In Chemometrics). A novel, rapid, hyperspectral, FT-IR-based approach to screening for biocatalytic activity and metabolite overproduction
  400. Discrimination between methicillin-resistant and methicillin- susceptible Staphylococcus aureus using pyrolysis mass spectrometry and artificial neural networks
  401. Rheological phenomena occurring during the shearing flow of mayonnaise
  402. Genetic Programming:  A Novel Method for the Quantitative Analysis of Pyrolysis Mass Spectral Data
  403. Target practice — novel approaches to antimicrobial chemotherapy
  404. Standardized basis sets for high-level-correlated relativistic calculations of atomic and molecular electric properties in the spin-averaged Douglas-Kroll approximation
  405. Fluorescent brighteners: Novel stains for the flow cytometric analysis of microorganisms
  406. Enantioselectivity of sulcatone reduction by some anaerobic bacteria
  407. Diffuse reflectance absorbance spectroscopy taking in chemometrics (DRASTIC). A hyperspectral FT-IR-based approach to rapid screening for metabolite overproduction
  408. Discrimination of the variety and region of origin of extra virgin olive oils using 13C NMR and multivariate calibration with variable reduction
  409. On mass spectrometer instrument standardization and interlaboratory calibration transfer using neural networks
  410. Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regression, with applications to pyrolysis mass spectrometry
  411. Classification of pyrolysis mass spectra by fuzzy multivariate rule induction-comparison with regression, K-nearest neighbour, neural and decision-tree methods
  412. An introduction to wavelet transforms for chemometricians: A time-frequency approach
  413. Quantitative analysis of the adulteration of orange juice with sucrose using pyrolysis mass spectrometry and chemometrics
  414. Determination of the geographical origin of Italian extra virgin olive oil using pyrolysis mass spectrometry and artificial neural networks
  415. If you've got it, flaunt it — rapid screening for microbial biocatalysts
  416. Improving the interpretation of multivariate and rule induction models by using a peak parameter representation
  417. Wavelet Denoising of Infrared Spectra
  418. Making cells work — metabolic engineering for everyone
  419. An instrument for the acquisition and analysis of the nonlinear dielectric spectra of biological samples
  420. What Biotechnologists Knew All Along...?
  421. Going places: forced and natural molecular evolution
  422. Plant seed classification using pyrolysis mass spectrometry with unsupervised learning: The application of auto-associative and Kohonen artificial neural networks
  423. Quantitative Analysis of Multivariate Data Using Artificial Neural Networks: A Tutorial Review and Applications to the Deconvolution of Pyrolysis Mass Spectra
  424. Rapid and non-invasive quantification of metabolic substrates in biological cell suspensions using non-linear dielectric spectroscopy with multivariate calibration and artificial neural networks. Principles and applications
  425. Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks
  426. Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks
  427. Do bacteria need to communicate with each other for growth?
  428. Membrane tension
  429. Why and when channelling can decrease pool size at constant net flux in a simple dynamic channel
  430. Deconvolution of the dielectric spectra of microbial cell suspensions using multivariate calibration and artificial neural networks
  431. Pyrolysis mass spectrometry and its applications in biotechnology
  432. Correction of Mass Spectral Drift Using Artificial Neural Networks
  433. On the analysis of the inverse problem of metabolic pathways using artificial neural networks
  434. Rapid authentication of animal cell lines using pyrolysis mass spectrometry and auto-associative artificial neural networks
  435. Oscillatory, stochastic and chaotic growth rate fluctuations in permittistatically controlled yeast cultures
  436. GMP — good modelling practice: an essential component of good manufacturing practice
  437. Preparation for university
  438. Rapid and quantitative analysis of metabolites in fermentor broths using pyrolysis mass spectrometry with supervised learning: application to the screening of Penicillium chrysogenum fermentations for the overproduction of penicillins
  439. Biochemical changes accompanying the long-term starvation of Micrococcus luteus cells in spent growth medium
  440. Pheromones, social behaviour and the functions of secondary metabolism in bacteria
  441. The low-frequency dielectric properties of biological cells
  442. Secretion of an antibacterial factor during resuscitation of dormant cells inMicrococcus luteus cultures held in an extended stationary phase
  443. Use of dielectric permittivity for the control of the biomass level during biotransformations of toxic substrates in continuous culture
  444. Metabolic Channeling in Organized Enzyme Systems: Experiments and Models
  445. On harmonic generation in nonlinear biological systems
  446. Solvent Selection for Whole Cell Biotransformations in Organic Media
  447. Rapid screening for metabolite overproduction in fermentor broths, using pyrolysis mass spectrometry with multivariate calibration and artificial neural networks
  448. The dogs that did not bark
  449. Rapid and quantitative analysis of recombinant protein expression using pyrolysis mass spectrometry and artificial neural networks: application to mammalian cytochrome b5 in Escherichia coli
  450. The rainbow and the worm: the physics of organisms
  451. Rapid and Quantitative Analysis of the Pyrolysis Mass Spectra of Complex Binary and Tertiary Mixtures Using Multivariate Calibration and Artificial Neural Networks
  452. Rapid identification using pyrolysis mass spectrometry and artificial neural networks ofPropionibacterium acnesisolated from dogs
  453. Estimation of dormant Micrococcus luteus cells by penicillin lysis and by resuscitation in cell-free spent culture medium at high dilution
  454. Dielectric properties of human blood and erythrocytes at radio frequencies (0.2?10 MHz); dependence on cell volume fraction and medium composition
  455. Quantitative analysis of the pyrolysis—mass spectra of complex mixtures using artificial neural networks: Application to amino acids in glycogen
  456. Rapid and quantitative analysis and bioprocesses using pyrolysis mass spectrometry and neural networks: application to indole production
  457. Introduction to the dielectric estimation of cellular biomass in real time, with special emphasis on measurements at high volume fractions
  458. On the role of enzyme kinetic parameters in determining the effectiveness with which channelling can decrease the size of a metabolite pool
  459. Dormancy in non-sporulating bacteria
  460. Dormancy in non-sporulating bacteria
  461. The use of 5-cyano-2,3-ditolyl tetrazolium chloride and flow cytometry for the visualisation of respiratory activity in individual cells of Micrococcus luteus
  462. Control Analysis of Metabolic Channeling
  463. On the Determination of the Size of Microbial Cells Using Flow Cytometry
  464. Flow Cytometric Analysis, Using Rhodamine 123, of Micrococcus luteus at Low Growth Rate in Chemostat Culture
  465. When Going Backwards Means Progress: On the Solution of Biochemical Inverse Problems Using Artificial Neural Networks
  466. Rapid assessment of the adulteration of virgin olive oils by other seed oils using pyrolysis mass spectrometry and artificial neural networks
  467. On the dielectric method of monitoring cellular viability
  468. Non-linear dielectric properties of Rhodobacter capsulatus
  469. Neural networks and olive oil
  470. On fitting dielectric spectra using artificial neural networks
  471. On fitting dielectric spectra using artificial neural networks
  472. On the dielectric properties of cell suspensions at high volume fractions
  473. On the dielectric properties of cell suspensions at high volume fractions
  474. New materials and technology for cell immobilization
  475. Rapid assessment of bacterial viability and vitality by rhodamine 123 and flow cytometry
  476. Scanning tunnelling microscopy in biology
  477. New materials and technology for cell immobilization
  478. Scanning tunnelling microscopy in biology
  479. Channelling can decrease pool size
  480. Rapid Determination, Using Dielectric Spectroscopy, of the Toxicity of Organic Solvents to Intact Cells
  481. Quantifying heterogeneity: flow cytometry of bacterial cultures
  482. Physiological studies on the solid-state quinoa tempe fermentation, using on-line measurements of fungal biomass production
  483. On the relationship between the nonlinear dielectric properties and respiratory activity of the obligately aerobic bacterium Micrococcus luteus
  484. On the relationship between the nonlinear dielectric properties and respiratory activity of the obligately aerobic bacterium Micrococcus luteus
  485. Confirmation by using mutant strains that the membrane-bound H + -ATPase is the major source of non-linear dielectricity in Saccharomyces cerevisiae
  486. Confirmation by using mutant strains that the membrane-bound H+-ATPase is the major source of non-linear dielectricity in Saccharomyces cerevisiae
  487. The dielectric permittivity at radio frequencies and the bruggeman probe: novel techniques for the on-line determination of biomass concentrations in plant cell cultures
  488. On the physiological significance of metabolite channelling: If, how, and where, but not why
  489. Quantitative approaches to the analysis of the control and regulation of microbial metabolism
  490. New materials and technology for cell immobilization
  491. Dual-frequency excitation: A novel method for probing the nonlinear dielectric properties of biological systems, and its application to suspensions of S. cerevisiae
  492. Dual-frequency excitation: a novel method for probing the nonlinear dielectric properties of biological systems, and its application to suspensions of S. cerevisiae
  493. To what extent is the magnitude of the Cole-Cole α of the β-dielectric dispersion of cell suspensions explicable in terms of the cell size distribution?
  494. To what extent is the magnitude of the Cole—Cole α of the β-dielectric dispersion of cell suspensions explicable in terms of the cell size distribution?
  495. Lacuna seeker
  496. Real-time monitoring of the accretion of Rhizopus oligosporus biomass during the solid-substrate tempe fermentation
  497. Stimulation by potassium ions of the growth of Rhizopus oligosporus during liquid-and solid-substrate fermentations
  498. Non-Faradaic electrochemical sensors: principles and practice
  499. Solutions, but no answers
  500. Quantifying heterogeneity: flow cytometry of bacterial cultures
  501. On the nonlinear dielectric properties of biological systems
  502. On the nonlinear dielectric properties of biological systems
  503. Dielectric spectroscopy as a tool for the measurement of the formation of biofilms and of their removal by electrolytic cleaning pulses and biocides
  504. Real-time monitoring of cellular biomass: Methods and applications
  505. Evidence from its temperature dependence that the ?-dielectric dispersion of cell suspensions is not due solely to the charging of a static membrane capacitance
  506. Hydrodynamic deposition: A novel method of cell immobilization
  507. Substitution and spreadsheet methods for analysing dielectric spectra of biological systems
  508. The Dielectric Properties of Cells and Tissues: What can They Tell Us about the Mechanisms of Field/Cell Interactions?
  509. The control and measurement of ‘CO2’ during fermentations
  510. The inhibition by CO2of the growth and metabolism of micro-organisms
  511. Electromicrobial transformations using the pyruvate synthase system of Clostridium sporogenes
  512. Electromicrobial transformations using the pyruvate synthase system of Clostridium sporogenes
  513. Immobilisation ofCandida cylindracea lipase on a new range of ceramic supports
  514. Window boxes?
  515. Biosensors.
  516. Dielectric Spectroscopy: a Rapid Method for the Determination of Solvent Biocompatibility During Biotransformations
  517. Electrosynthesis and electroanalysis using Clostridium sporogenes
  518. On the audio- and radio-frequency dielectric behaviour of anchorage-independent, mouse L929-derived LS fibroblasts
  519. Electrosynthesis and electroanalysis using Clostridium sporogenes
  520. On the audio- and radio-frequency dielectric behaviour of anchorage-independent, mouse L929-derived LS fibroblasts
  521. Thermodynamics and control of biological free-energy transduction
  522. Mechanisms for the interaction between nonstationary electric fields and biological systems II. Nonlinear dielectric theory and free-energy transduction
  523. Mechanisms for the interaction between nonstationary electric fields and biological systems I. Linear dielectric theory and its limitations
  524. The dynamics of electrostatic interactions between membrane proteins
  525. Growth energetics ofClostridium sporogenesNCIB 8053: modulation by CO2
  526. Energetics of Microbial Growth Edwin H. Battley
  527. Effects ofpCO2on the growth and metabolism ofClostridium sporogenesNCIB 8053 in defined media
  528. The passive electrical properties of biological systems: their significance in physiology, biophysics and biotechnology
  529. Matrix method for determining steps most rate-limiting to metabolic fluxes in biotechnological processes
  530. Dielectric permittivity of microbial suspensions at radio frequencies: a novel method for the real-time estimation of microbial biomass
  531. The growth and nutrition ofClostridium sporogenesNCIB 8053 in defined media
  532. The physiology ofClostridium sporogenesNCIB 8053 growing in defined media
  533. Solvent production byClostridium pasteurianum in media of high sugar content
  534. Metabolic control theory: its role in microbiology and biotechnology
  535. Metabolic control theory: its role in microbiology and biotechnology
  536. Proline reduction by Clostridium sporogenes is coupled to vectorial proton ejection
  537. Proline reduction by Clostridium sporogenes is coupled to vectorial proton ejection
  538. Dielectric spectroscopy of energy coupling membranes: Chloroplast thylakoids
  539. Towards a rational approach to the optimization of flux in microbial biotransformations
  540. Dielectric spectroscopy of protein translational diffusion in prokaryotic membranes and membrane vesicles
  541. [40] Localized protonic coupling: Overview and critical evaluation of techniques
  542. Organization and Control of Energy Metabolism in Anaerobic Microorganisms
  543. A Nomograph for Calculating the Optimal Frequency for Dielectrophoresis and the Characteristic Frequency of the β-Dispersion of Cell Membrane Vesicles
  544. Conductimetric assessment of the biomass content in suspensions of immobilised (gel-entrapped) microorganisms
  545. On the dielectrically observable consequences of the diffusional motions of lipids and proteins in membranes
  546. On the dielectrically observable consequences of the diffusional motions of lipids and proteins in membranes
  547. Tinopal AN as a selective agent for the differentiation of phytopathogenic and saprophyticPseudomonasspecies
  548. Catalytic Facilitation and Membrane Bioenergetics
  549. Dielectric Spectroscopy and Membrane Organisation
  550. The estimation of microbial biomass
  551. A minimal hypothesis for membrane-linked free-energy transduction
  552. Constraints on the lateral diffusion of membrane proteins in prokaryotes
  553. On the effects of thiocyanate and venturicidin on respiration-driven proton translocation in Paracoccus denitrificans
  554. Diffusion of protein complexes in prokaryotic membranes: fast, free, random or directed?
  555. Mosaic protonic coupling hypothesis for free energy transduction
  556. Is the Transmembrane Electrochemical Potential a Competent Intermediate in Membrane Associated ATP Synthesis?
  557. Dielectric properties of bacterial chromatophores
  558. The radio-frequency dielectric properties of yeast cells measured with a rapid, automated, frequency-domain dielectric spectrometer
  559. Coupling factor B and the bovine mitochondrial H+-ATP synthase
  560. On the functional unit of energy coupling in photophosphorylation by bacterial chromatophores
  561. Non-linear systems: Coherent excitation in biology
  562. Coherent Properties of the Membranous Systems of Electron Transport Phosphorylation
  563. Dielectric properties of bacterial chromatophores
  564. The radio-frequency dielectric properties of yeast cells measured with a rapid, automated, frequency-domain dielectric spectrometer
  565. Enzymes as energy ‘funnels’?
  566. Localized energy coupling during photophosphorylation by chromatophores ofRhodopseudomonas capsulata N22
  567. On the Mode of Action of the Bacteriocin Butyricin 7423. Effects on Membrane Potential and Potassium-Ion Accumulation in Clostridium pasteurianum
  568. A novel inhibitor of NADH dehydrogenase in Paracoccus denitrificans
  569. Butyricin 7423 and the membrane H+-ATPase of Clostridium pasteurianum
  570. General discussion
  571. Proton-coupled energy transduction by biological membranes. Principles, pathways and praxis
  572. A rose by any other name
  573. Bacteria that are resistant to uncouplers—what can they tell us?
  574. Quantitative Problems in Biochemistry (Sixth Edition)
  575. A benzoxazole inhibitor of NADH dehydrogenase in Paracoccus denitrificans
  576. A benzoxazole inhibitor of NADH dehydrogenase in Paracoccus denitrificans
  577. Polarographic investigation of some cytokinins
  578. On proton-coupled information transfer along the surface of biological membranes and the mode of action of certain colicins
  579. Polarographic investigation of some cytokinins
  580. On proton-coupled information transfer along the surface of biological membranes and the mode of action of certain colicins
  581. On the permeability to weak acids and bases of the cytoplasmic membrane of Clostridiumpasteurianum
  582. The Electron Transport System and Hydrogenase of Paracoccus denitrificans
  583. Medical and biological applications of electrochemical devices
  584. Edited by G. Milazzo J. Wiley; Brisbane, Chichester, New York, Toronto
  585. Edited by P. L. Dutton, J. S. Leigh and A. Scarpa Academic Press; London, New York
  586. Formulation and some biological uses of a buffer mixture whose buffering capacity is relatively independent of pH in the range pH 4–9
  587. An adenine nucleotide translocase in the procaryote Methanobacterium thermoautotrophicum
  588. Oxidation-reduction properties of coenzyme M (2-mercaptoethane sulphonate) at the mercury electrode
  589. Physical Aspects of Protein Interactions
  590. Physiochemical Aspects of Protein Denaturation
  591. Biochemical Thermodynamics
  592. On the functional proton current pathway of electron transport phosphorylation
  593. Measurement by a flow dialysis technique of the steady-state proton-motive force in chromatophores from Rhodospirillum rubrum. Comparison with phosphorylation potential
  594. Resolution of Paracoccus denitrificans membrane vesicles of differing configuration using affinity chromatography
  595. Continuous monitoring of the electrical potential across energy-transducing membranes using ion-selective electrodes Application to submitochondrial particles and chromatophores
  596. BCG inhibition of murine leudemia: local suppression and systemic tumor immunity require different doses
  597. Douglas Kell Comments on ‘Methodology’ During the Workshop
  598. Taverna/myGrid: Aligning a Workflow System with the Life Sciences Community
  599. Molecular Structure Elucidation Using Ant Colony Optimization: A Preliminary Study
  600. Nonlinear Dielectric Spectroscopy of Biological Systems: Principles ans Applications