All Stories

  1. Impact of inhibition mechanisms, automation, and computational models on the discovery of organic corrosion inhibitors
  2. Exploring the Performance of Linear and Nonlinear Models of Time-of-Flight Secondary Ion Mass Spectrometry Spectra
  3. Computational repurposing of drugs for viral diseases and current and future pandemics
  4. Selection of Electrolyte Additives for Enhanced Mg-Air Battery Performance Supported By Data-Driven Approach
  5. Rational Atom Substitution to Obtain Efficient, Lead‐Free Photocatalytic Perovskites Assisted by Machine Learning and DFT Calculations
  6. Rational Atom Substitution to Obtain Efficient, Lead‐Free Photocatalytic Perovskites Assisted by Machine Learning and DFT Calculations
  7. Identifying factors controlling cellular uptake of gold nanoparticles by machine learning
  8. A Predictive Model for Monolayer‐Selective Metal‐Mediated MoS2 Exfoliation Incorporating Electrostatics
  9. Signalling pathway crosstalk stimulated by L-proline drives mouse embryonic stem cells to primitive-ectoderm-like cells
  10. Effect of data preprocessing and machine learning hyperparameters on mass spectrometry imaging models
  11. Exploiting Advances in Automation and Artificial Intelligence to Find Drugs for Neglected Tropical Diseases
  12. Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation
  13. Multi-Dimensional Machine Learning Analysis of Polyaniline Films Using Stitched Hyperspectral ToF-SIMS Data
  14. Linear Binary Classifier to Predict Bacterial Biofilm Formation on Polyacrylates
  15. Identifying SARS-CoV-2 Drugs Binding to the Spike Fatty Acid Binding Pocket Using In Silico Docking and Molecular Dynamics
  16. Exploring the Relationship between Polymer Surface Chemistry and Bacterial Attachment Using ToF‐SIMS and Self‐Organizing maps
  17. Signalling pathway crosstalk stimulated by L-proline drives differentiation of mouse embryonic stem cells to primitive-ectoderm-like cells
  18. Identifying medically relevant xenon protein targets by in silico screening of the structural proteome
  19. Discovery and Design of Radiopharmaceuticals by In silico Methods
  20. Corrosion Inhibition, Inhibitor Environments, and the Role of Machine Learning
  21. Machine Learning in the Development of Adsorbents for Clean Energy Application and Greenhouse Gas Capture
  22. Fusing ToF‐SIMS Images for Spatial‐Spectral Resolution Enhancement using a Convolutional Neural Network
  23. Feature importance in machine learning models: A fuzzy information fusion approach
  24. Protein corona formation on silver nanoparticles under different conditions
  25. Probing the properties of molecules and complex materials using machine learning
  26. European Registry of Materials: global, unique identifiers for (undisclosed) nanomaterials
  27. Energy Interplay in Materials: Unlocking Next‐Generation Synchronous Multisource Energy Conversion with Layered 2D Crystals
  28. The impact of machine learning on future tuberculosis drug discovery
  29. Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery
  30. Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase
  31. Two-Dimensional and Three-Dimensional Time-of-Flight Secondary Ion Mass Spectrometry Image Feature Extraction Using a Spatially Aware Convolutional Autoencoder
  32. Machine Learning-assisted Exploration of a Universal Polymer Platform with Charge Transfer-dependent Full-color Emission
  33. Computational Repurposing of Drugs and Natural Products Against SARS-CoV-2 Main Protease (Mpro) as Potential COVID-19 Therapies
  34. Potential COVID-19 therapies from computational repurposing of drugs and natural products against the SARS-CoV-2 helicase
  35. Applications of multivariate analysis and unsupervised machine learning to ToF-SIMS images of organic, bioorganic, and biological systems
  36. Potent antimalarial drugs with validated activities
  37. A bright future for engineering piezoelectric 2D crystals
  38. Data-driven selection of electrolyte additives for aqueous magnesium batteries
  39. Rational Repurposing of Drugs, Clinical Trial Candidates, and Natural Products for SARS-CoV-2 Therapy
  40. Nanoparticle-protein corona complex: understanding multiple interactions between environmental factors, corona formation, and biological activity
  41. Computationally repurposed drugs and natural products against RNA dependent RNA polymerase as potential COVID-19 therapies
  42. Author Correction: In silico comparison of SARS-CoV-2 spike protein-ACE2 binding affinities across species and implications for virus origin
  43. Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts
  44. Active Learning in Bayesian Neural Networks for Bandgap Predictions of Novel Van der Waals Heterostructures
  45. Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations
  46. A systematic comparison of the structural and dynamic properties of commonly used water models for molecular dynamics simulations
  47. In silico comparison of SARS-CoV-2 spike protein-ACE2 binding affinities across species and implications for virus origin
  48. Overcoming roadblocks in computational roadmaps to the future for safe nanotechnology
  49. Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip
  50. Use of Artificial Intelligence and Machine Learning for Discovery of Drugs for Neglected Tropical Diseases
  51. Potent In Vitro Peptide Antagonists of the Thrombopoietin Receptor as Potential Myelofibrosis Drugs
  52. Exploring structure-property relationships in magnesium dissolution modulators
  53. A critical overview of computational approaches employed for COVID-19 drug discovery
  54. Biomedical nanomaterials: applications, toxicological concerns, and regulatory needs
  55. A first proposal for how to represent nanomaterials' composition and structure in a standardised way
  56. Evolutionary design of optimal surface topographies for biomaterials
  57. FACS in the 21st century
  58. Machine learning property prediction for organic photovoltaic devices
  59. Single-Cell Tracking on Polymer Microarrays Reveals the Impact of Surface Chemistry on Pseudomonas aeruginosa Twitching Speed and Biofilm Development
  60. Analyzing 3D hyperspectral TOF-SIMS depth profile data using self-organizing map-relational perspective mapping
  61. Ligand Entropy Is Hard but Should Not Be Ignored
  62. Micro topographical instruction of bacterial attachment, biofilm formation and in vivo host response
  63. The electronic structure of bicyclo[2.2.2]octa-2,5-dione
  64. High Throughput Screening of Millions of van der Waals Heterostructures for Superlubricant Applications
  65. Self-Organizing Map and Relational Perspective Mapping for the Accurate Visualization of High-Dimensional Hyperspectral Data
  66. Role of Artificial Intelligence and Machine Learning in Nanosafety
  67. Immune-Instructive Polymers Control Macrophage Phenotype and Modulate the Foreign Body Response In Vivo
  68. Antifibrotic strategies for medical devices
  69. New materials that protect against fungal attack
  70. Evolutionary design of optimal surface topographies for biomaterials
  71. Synergistic Material-Topography Combinations to Achieve Immunomodulatory Osteogenic Biomaterials
  72. Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation
  73. In silico screening of modulators of magnesium dissolution
  74. NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment
  75. Correction: QSAR without borders
  76. QSAR without borders
  77. Chapter 9. Machine Learning at the (Nano)materials-biology Interface
  78. Predicting Thermal Properties of Crystals Using Machine Learning
  79. Hydration and Dynamics of Ligands Determine the Antifouling Capacity of Functionalized Surfaces
  80. Computational Nanotoxicology
  81. Coatings Releasing the Relaxin Peptide Analogue B7-33 Reduce Fibrotic Encapsulation
  82. Information conte t of surface analysis data sets
  83. Rapid evaluation of immobilized immunoglobulins using automated mass-segmented ToF-SIMS
  84. Massive in Silico Study of Noble Gas Binding to the Structural Proteome
  85. Toward Interpretable Machine Learning Models for Materials Discovery
  86. Optimal machine learning models for robust materials classification using ToF-SIMS data
  87. Effect of mass segment size on polymer ToF-SIMS multivariate analysis using a universal data matrix
  88. Quantifying and extending a useful heuristic for designing low protein attachment materials
  89. Evolving the materials and design of robots simultaneously
  90. Efficient Prediction of Structural and Electronic Properties of Hybrid 2D Materials Using Complementary DFT and Machine Learning Approaches
  91. High-Throughput Assessment and Modeling of a Polymer Library Regulating Human Dental Pulp-Derived Stem Cell Behavior
  92. Distinguishing Chemically Similar Polyamide Materials with ToF-SIMS Using Self-Organizing Maps and a Universal Data Matrix
  93. Decoding the Rich Biological Properties of Noble Gases: How Well Can We Predict Noble Gas Binding to Diverse Proteins?
  94. Corrigendum: Validating Eaton's Hypothesis: Cubane as a Benzene Bioisostere
  95. Opening the black box of neural networks: methods for interpreting neural network models in clinical applications
  96. Multivariate analysis of ToF-SIMS data using mass segmented peak lists
  97. Sparse QSAR modelling methods for therapeutic and regenerative medicine
  98. Prediction of Broad-Spectrum Pathogen Attachment to Coating Materials for Biomedical Devices
  99. Correction to Competitive Inhibition Mechanism of Acetylcholinesterase without Catalytic Active Site Interaction: Study on Functionalized C60 Nanoparticles via in Vitro and in Silico Assays
  100. Predicting the Performance of Organic Corrosion Inhibitors
  101. Correction to “Modeling the Influence of Fatty Acid Incorporation on Mesophase Formation in Amphiphilic Therapeutic Delivery Systems”
  102. Correction to Materials Genome in Action: Identifying the Performance Limits of Physical Hydrogen Storage
  103. Biomimetic molecular design tools that learn, evolve, and adapt
  104. Competitive Inhibition Mechanism of Acetylcholinesterase without Catalytic Active Site Interaction: Study on Functionalized C60 Nanoparticles via in Vitro and in Silico Assays
  105. Computational Modeling and Simulation of CO2 Capture by Aqueous Amines
  106. Toward a systematic exploration of nano-bio interactions
  107. Computers can accelerate design of magnetic agents for the diagnosis & treatment of serious illneses
  108. Materials Genome in Action: Identifying the Performance Limits of Physical Hydrogen Storage
  109. De novo Drug Design - Ye olde Scoring Problem Revisited
  110. Computational Approaches
  111. Abstract B032: The PI3K-γ inhibitor, IPI-549, increases antitumor immunity by targeting tumor-associated myeloid cells and remodeling the immune-suppressive tumor microenvironment
  112. Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR
  113. Aluminum toxicity risk reduction as a result of reduced acid deposition in Adirondack lakes and ponds
  114. Molecular Markers for Pyrethrin Autoxidation in Stored Pyrethrum Crop: Analysis and Structure Determination
  115. Abstract 554: Checkpoint blockade therapy is improved by altering the immune suppressive microenvironment with IPI-549, a potent and selective inhibitor of PI3K-gamma, in preclinical models
  116. A renaissance of neural networks in drug discovery
  117. A thrombopoietin receptor antagonist is capable of depleting myelofibrosis hematopoietic stem and progenitor cells
  118. Introduction to a review series on advances in cell-based immune therapeutics in hematology
  119. Discovery and Optimization of Materials Using Evolutionary Approaches
  120. An Experimental and Computational Approach to the Development of ZnO Nanoparticles that are Safe by Design
  121. Recent advances, and unresolved issues, in the application of computational modelling to the prediction of the biological effects of nanomaterials
  122. Using high throughput experimental data and in silico models to discover alternatives to toxic chromate corrosion inhibitors
  123. Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches
  124. The diverse biological properties of the chemically inert noble gases
  125. Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)
  126. Modeling the Influence of Fatty Acid Incorporation on Mesophase Formation in Amphiphilic Therapeutic Delivery Systems
  127. Validating Eaton's Hypothesis: Cubane as a Benzene Bioisostere
  128. Understanding the Roles of the “Two QSARs”
  129. Chemistry space–time
  130. Surface-water Interface Induces Conformational Changes Critical for Protein Adsorption: Implications for Monolayer Formation of EAS Hydrophobin
  131. Robust Prediction of Personalized Cell Recognition from a Cancer Population by a Dual Targeting Nanoparticle Library
  132. Working out how good a predictive model is
  133. Relevance Vector Machines: Sparse Classification Methods for QSAR
  134. A Bright Future for Evolutionary Methods in Drug Design
  135. Discovery of a Novel Polymer for Human Pluripotent Stem Cell Expansion and Multilineage Differentiation
  136. Using modern mathematics to discover new biological mechanisms
  137. Sparse feature selection identifies H2A.Z as a novel, pattern-specific biomarker for asymmetrically self-renewing distributed stem cells
  138. Brooktrout Lake Case Study: Biotic Recovery from Acid Deposition 20 Years after the 1990 Clean Air Act Amendments
  139. Thermostability and reversibility of silver nanoparticle–protein binding
  140. Towards computational design of zeolite catalysts for CO2 reduction
  141. Adrien Albert Award: How to Mine Chemistry Space for New Drugs and Biomedical Therapies
  142. Immobilisation of a thrombopoietin peptidic mimic by self-assembled monolayers for culture of CD34+ cells
  143. A Thrombopoietin Antagonist Is Capable of Affecting Stem and Progenitor Cells of Patients with Myelofibrosis
  144. Understanding how nanoparticles affect biology
  145. Illuminating Flash Point: Comprehensive Prediction Models
  146. Contrasting Effects of Nanoparticle Binding on Protein Denaturation
  147. Materials for stem cell factories of the future
  148. Getting to the Source: Selective Drug Targeting of Cancer Stem Cells
  149. Ultrafast Fabrication of Covalently Cross-linked Multifunctional Graphene Oxide Monoliths
  150. Modelling and predicting the biological effects of nanomaterials
  151. Towards chromate-free corrosion inhibitors: structure–property models for organic alternatives
  152. Materiomics
  153. Modelling and Prediction of Bacterial Attachment to Polymers
  154. Applying quantitative structure–activity relationship approaches to nanotoxicology: Current status and future potential
  155. Mesenchymal stromal cell turnover in the normal adult lung revisited
  156. Development of ligand-immobilised surfaces for ex vivo expansion of haemopoietic stem cells
  157. Aqueous Solubility Prediction: Do Crystal Lattice Interactions Help?
  158. Predicting the Effect of Lipid Structure on Mesophase Formation during in Meso Crystallization
  159. Potent Agonists of a Hematopoietic Stem Cell Cytokine Receptor, c-Mpl
  160. Predicting the Complex Phase Behavior of Self-Assembling Drug Delivery Nanoparticles
  161. Correction to Capturing the Crystal: Prediction of Enthalpy of Sublimation, Crystal Lattice Energy, and Melting Points of Organic Compounds
  162. Computational Modeling and Prediction of the Complex Time-Dependent Phase Behavior of Lyotropic Liquid Crystals under in Meso Crystallization Conditions
  163. Capturing the Crystal: Prediction of Enthalpy of Sublimation, Crystal Lattice Energy, and Melting Points of Organic Compounds
  164. Autologous Neosphincters and Novel Technologies for Fecal continence
  165. Modeling Biological Activities of Nanoparticles
  166. Self-organizing circuitry and emergent computation in mouse embryonic stem cells
  167. Quantitative Structure–Property Relationship Modeling of Diverse Materials Properties
  168. Computational Approaches
  169. Robust, quantitative tools for modelling ex-vivo expansion of haematopoietic stem cells and progenitors
  170. Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces
  171. Unzipping the role of chirality in nanoscale self-assembly of tripeptide hydrogels
  172. Structure and Function of Ecdysone Receptors—Interactions with Ecdysteroids and Synthetic Agonists
  173. Modeling the molecular basis for α4β1 integrin antagonism
  174. Principal signalling complexes in haematopoiesis: Structural aspects and mimetic discovery
  175. Binding Inhibitors of the Bacterial Sliding Clamp by Design
  176. A General Model for Binary Cell Fate Decision Gene Circuits with Degeneracy: Indeterminacy and Switch Behavior in the Absence of Cooperativity
  177. Tripeptide Motifs in Biology: Targets for Peptidomimetic Design
  178. Modelling topoisomerase I inhibition by minor groove binders
  179. Synthesis, binding and bioactivity of γ-methylene γ-lactam ecdysone receptor ligands: Advantages of QSAR models for flexible receptors
  180. ChemInform Abstract: Application of DFT and EMS to the Study of Strained Organic Molecules
  181. Zinc Is Not Required for Activity of TPO Agonists Acting at the c-Mpl Receptor Transmembrane Domain
  182. ChemInform Abstract: New QSAR Methods Applied to Structure-Activity Mapping and Combinatorial Chemistry.
  183. Modelling Inhalational Anaesthetics Using Bayesian Feature Selection and QSAR Modelling Methods
  184. Robust modelling of solubility in supercritical carbon dioxide using Bayesian methods
  185. Modelling Atypical Small-Molecule Mimics of an Important Stem Cell Cytokine, Thrombopoietin
  186. Predictive Mesoscale Network Model of Cell Fate Decisions during C. elegans Embryogenesis
  187. An Optimal Self-Pruning Neural Network and Nonlinear Descriptor Selection in QSAR
  188. Conformational analysis of folates and folate analogues
  189. Design of transition-state analogues for gaba-transaminase
  190. Stem cell decision making and critical-like exploratory networks
  191. Optimal Sparse Descriptor Selection for QSAR Using Bayesian Methods
  192. Toward Novel Universal Descriptors: Charge Fingerprints
  193. A Carbon-13 NMR Study of Carbon Dioxide Absorption and Desorption with Aqueous Amine Solutions
  194. Consistent concepts of self-organization and self-assembly
  195. Toward a Rosetta stone for the stem cell genome: Stochastic gene expression, network architecture, and external influences
  196. Classification of emergence and its relation to self-organization
  197. Critical-like self-organization and natural selection: Two facets of a single evolutionary process?
  198. Bayesian Regularization of Neural Networks
  199. Network models in drug discovery and regenerative medicine
  200. Parasiticidal 2-alkoxy- and 2-aryloxyiminoalkyl trifluoromethanesulfonanilides
  201. A Methodology for Applying Energy Harvesting to Extend Wildlife Tag Lifetime
  202. Classification of Self-Organization and Emergence in Chemical and Biological Systems
  203. Erratum to “Orbital based electronic structural signatures of the guanine keto G-7H/G-9H tautomer pair as studied using dual space analysis” [Biophys. Chem. 121 (2006) 105–120]
  204. Discovery of (Z)-2-phenyl-3-(1H-pyrrol-2-yl)acrylonitrile derivatives active against Haemonchus contortus and Ctenocephalides felis (cat flea)
  205. Nonlinear Predictive Modeling of MHC Class II-Peptide Binding Using Bayesian Neural Networks
  206. An experimental and theoretical study into the valence electronic structure of bicyclo[2.2.1]hepta-2,5-dione
  207. Orbital based electronic structural signatures of the guanine keto G-7H/G-9H tautomer pair as studied using dual space analysis
  208. Scaled vehicle tire characteristics: dimensionless analysis
  209. Simulation and Modelling of Chemical and Biological Complex Systems
  210. Classification of Self-Organization and Emergence in Chemical and Biological Systems
  211. Overview of Quantitative Structure-Activity Relationships (QSAR)
  212. Investigation into the Valence Electronic Structure of Norbornene Using Electron Momentum Spectroscopy, Green's Function, and Density Functional Theories
  213. Predictive Bayesian neural network models of MHC class II peptide binding
  214. The X-ray Structure of a Hemipteran Ecdysone Receptor Ligand-binding Domain
  215. Nitrile Oxide Cycloaddition Chemistry Using Benzotriazole as a Steric Auxiliary
  216. Predictive Human Intestinal Absorption QSAR Models Using Bayesian Regularized Neural Networks
  217. Structural impact on the methano bridge in norbornadiene, norbornene and norbornane
  218. Norbornane: An investigation into its valence electronic structure using electron momentum spectroscopy, and density functional and Green’s function theories
  219. Broad-Based Quantitative Structure−Activity Relationship Modeling of Potency and Selectivity of Farnesyltransferase Inhibitors Using a Bayesian Regularized Neural Network
  220. Rapid Prediction of Chemical Metabolism by Human UDP-glucuronosyltransferase Isoforms Using Quantum Chemical Descriptors Derived with the Electronegativity Equalization Method
  221. Modelling blood–brain barrier partitioning using Bayesian neural nets
  222. Foreword
  223. Highly Flexible Ligand Binding Pocket of Ecdysone Receptor
  224. Bayesian neural nets for modeling in drug discovery
  225. Comparison of Linear and Nonlinear Classification Algorithms for the Prediction of Drug and Chemical Metabolism by Human UDP-Glucuronosyltransferase Isoforms.
  226. Neural Networks as Robust Tools in Drug Lead Discovery and Development
  227. Synthesis, Biological Activity, and QSAR Studies of Antimicrobial Agents Containing Biguanide Isosteres
  228. Neural networks in ADME and toxicity prediction
  229. Exploring the electronic structure of 2,6-stelladione from momentum space I: the p-dominant molecular orbitals in the outer valence shell
  230. Comparison of Linear and Nonlinear Classification Algorithms for the Prediction of Drug and Chemical Metabolism by Human UDP-Glucuronosyltransferase Isoforms
  231. An electron momentum spectroscopy and density functional theory study of the outer valence electronic structure of stella-2,6-dione
  232. Foreword
  233. Comprehensive Experimental and Theoretical Study into the Complete Valence Electronic Structure of Norbornadiene
  234. Definitive confirmation for through-space bond dominance in the outermost π-orbitals of norbornadiene
  235. Influence of benign cellular changes in diagnosis of cervical cancer using IR microspectroscopy
  236. The role of quantitative structure - activity relationships (QSAR) in biomolecular discovery
  237. The broader applications of neural and genetic modelling methods
  238. High-resolution electron momentum spectroscopy of molecules
  239. Introduction and foreword to the special issue on computational drug design and informatics
  240. Structure-based design of inhibitors of the rice blast fungal enzyme trihydroxynaphthalene reductase
  241. Quantitative Structure−Activity Relationship Studies Using Gaussian Processes
  242. Core molecular orbital contribution to N2O isomerization as studied using theoretical electron momentum spectroscopy
  243. A high-resolution electron momentum spectroscopy and density functional theory study into the complete valence electronic structure of allene
  244. Use of Automatic Relevance Determination in QSAR Studies Using Bayesian Neural Networks
  245. Robust QSAR Models from Novel Descriptors and Bayesian Regularised Neural Networks
  246. A Quantitative Structure−Activity Relationships Model for the Acute Toxicity of Substituted Benzenes to Tetrahymena pyriformis Using Bayesian-Regularized Neural Networks
  247. A Density Functional Theory and Electron Momentum Spectroscopy Study into the Complete Valence Electronic Structure of Cubane
  248. The Computer Simulation of High Throughput Screening of Bioactive Molecules
  249. Robust QSAR Models Using Bayesian Regularized Neural Networks
  250. Electron momentum spectroscopy studies on atom and molecules using monochromated electrons
  251. ChemInform Abstract: New Insights on the Reaction of Alkyl 3‐Oxo‐4‐(triphenylphosphoranylidene)butanoate and Aldehydes under Concentrated Condensation Conditions. One‐Pot Synthesis of Highly Functionalized 6‐Oxocyclohex‐4‐ene‐1,3‐dicarboxylates.
  252. An electron momentum spectroscopy and density functional theory investigation into the complete valence electronic structure of ethylene oxide
  253. Synthesis of homorhamnojirimycins and related trihydroxypipecolic acid derivatives via divergent bicyclic amino lactone intermediates: Inhibition of naringinase (L-rhamnosidase) and dTDP-rhamnose biosynthesis
  254. Piperidine analogues of D-galactose as potent inhibitors of α-galactosidase: Synthesis by stannane-mediated hydroxymethylation of 5-azido-1,4-lactones. Structural relationships between D-galactosidase and L-rhamnosidase inhibitors
  255. Investigation of 5-HT4 agonist activities using molecular field analysis
  256. An investigation into FTIR spectroscopy as a biodiagnostic tool for cervical cancer
  257. New QSAR Methods Applied to Structure−Activity Mapping and Combinatorial Chemistry
  258. 5-epi-Deoxyrhamnojirimycin is a potent inhibitor of an α-l-rhamnosidase: 5-epi-deoxymannojirimycin is not a potent inhibitor of an α-d-mannosidase
  259. Potential intermediates for incorporation of polyhydroxylated prolines into combinatorial libraries
  260. Holographic QSAR of Benzodiazepines
  261. Momentum distributions and molecular property information for trans 1,3 butadiene: An electron momentum spectroscopy and density functional theory investigation
  262. Holographic Neural Networks as Nonlinear Discriminants for Chemical Applications
  263. Transformation of substituted 2H-pyran-5-carboxylates into 3R*-vinyl-1,2R*-cyclopropanedicarboxylates
  264. New Insights on the Reaction of Alkyl 3-Oxo-4-(triphenylphosphoranylidene)butanoate and Aldehydes under Concentrated Condensation Conditions. One-pot Synthesis of Highly Functionalised 6-Oxocyclohex-4-ene-1,3-dicarboxylates
  265. Atomistic Topological Indices Applied to Benzodiazepines using Various Regression Methods
  266. UNICHEM and Electron Momentum Spectroscopy Investigation into the Valence Electronic Structure of trans 1,3 Butadiene
  267. Application of DFT and EMS to the Study of Strained Organic Molecules
  268. Predicting maximum bioactivity by effective inversion of neural networks using genetic algorithms
  269. Theoretical and (e,2e) Experimental Investigation into the Complete Valence Electronic Structure of [1.1.1]Propellane
  270. Cross-validatory Selection of Test and Validation Sets in Multivariate Calibration and Neural Networks as Applied to Spectroscopy
  271. A Chemically Intuitive Molecular Index Based on the Eigenvalues of a Modified Adjacency Matrix
  272. Molecular Modeling Studies of “Flap Up” Mannosyl Cation Mimics
  273. The Synthesis of Bisguanidinoalkanes and Guanidinoalkanes, N- or N'-Substituted With Pyrimidines, as Analogues of Chlorhexidine
  274. Using Artificial Neural Networks to Predict Biological Activity from Simple Molecular Structural Considerations
  275. Electron momentum spectroscopy of [1.1.1]propellane
  276. “I2-Doping” of 1,4-polydienes
  277. Conducting Polymers from Polybutadiene: Molecular Configuration Effects on the Iodine-Induced Conjugation Reactions
  278. Mapping Analytic Functions Using Neural Networks
  279. 6-(2-Methylpropylthio)-2-pyridyl methanesulfonate
  280. Preparation of Bicyclic Herbicide Precursors by Intramolecular Stork-Danheiser Kinetic Alkylation Reactions of Methyl 1-(Haloalkyl)-3-methoxy-5-oxocyclohex-3-ene-1-carboxylate Derivatives
  281. Quantitative structure-activity studies of pyrethroids
  282. Transition-state analogues as inhibitors for GABA-aminotransferase
  283. Carbocation-Mediated Rearrangements Within [n.m.1]Propellane Frameworks
  284. Triatomic molecules: meeting places for experiment and theory
  285. Production of interstellar HCN and HNC
  286. Morpheus: a conformation-activity relationships and receptor modeling package
  287. Design of potential anti-HIV agents. 1. Mannosidase inhibitors
  288. Molecular identification number for substructure searches
  289. A molecular graphics study of factors influencing herbicidal activity of oximes of 3-acyl-tetrahydro-2H-pyran-2,4-diones
  290. Paleoecology and hypsilophodontid behavior at the Proctor Lake dinosaur locality (Early Cretaceous), Texas
  291. Targeted cytotoxic cells as a novel form of cancer immunotherapy
  292. Molecular orbital studies of reaction mechanism and transition state structures for GABA-transaminase
  293. The conformations of 1,1,2,2-tetracyanoethane and 1,2-dichlorotetracyanoethane: a molecular orbital, dipole moment and kerr effect study
  294. The non-Fickian diffusion of deterrents into a nitrocellulose-based propellant
  295. Quantitative Structure-Activity Relationships in Insecticidal Pyrethroid Ethers
  296. A variational description of the rotational and vibrational states of triatomic molecules using numerical wavefunctions
  297. Invalidation of Lowry protein estimations and macrophage 3H deoxyglucose uptake by plastic tubes and airflow
  298. A conformational study of the topographical requirements of a phytotropin recognition site on the naphthylphthalamic acid receptor
  299. Conformational energy calculations and electrostatic potentials of dihydrofolate reductase ligands: relevance to mode of binding and species specificity
  300. Molecular conformational studies of cellulose nitrate
  301. CNDO/2 Calculations for Organohalides
  302. Design, Synthesis and Testing of Transition State Analogues of Alanine Racemase as Antibacterials
  303. Structure-activity relations of convulsant and anticonvulsant barbiturates: a computer-graphic-based pattern-recognition analysis
  304. Origins of molecular structure. I. Three-body calculations on the ground states of systems from e2+e-to H2+using a hyperspherical basis
  305. Conformational analysis of picrotoxinin by N.M.R., X-ray crystallography, and molecular orbital and classical potential-energy calculations
  306. DO BARBITURATE RECEPTORS EXIST?
  307. Conformational analysis of the ergot alkaloids ergotamine and ergotaminine
  308. Hyperfine interactions in methanimine
  309. The microwave spectrum of HCN dimer
  310. Hyperfine interactions in the microwave spectrum of 2-propen-1-Imine (vinylimine)
  311. The microwave spectrum of (Z)-Ethanimine
  312. Detection of the 23-22 emission line of sulphur monoxide and its relevance to magnetic fields in Orion
  313. Detection of J = 2 -> 1 emission of acetonitrile (CH3CN) in Sgr B2
  314. Nuclear quadrupole coupling in the microwave spectrum of 1,2,3-triazole
  315. Quadrupole hyperfine structure of the microwave spectrum of 1,2,4-triazole and N-deuterotriazole
  316. Application of Neural Networks to Large Dataset QSAR, Virtual Screening, and Library Design
  317. Controlling clipping probability in DMT transmission