All Stories

  1. Does the accounting of the local symmetry fragments in quasi-SMILES improve the predictive potential of the QSAR models of toxicity toward tadpoles?
  2. Semi-Correlations for Building Up a Simulation of Eye Irritation
  3. Fragments of local symmetry in a sequence of amino acids: Does one can use for QSPR/QSAR of peptides?
  4. Isoprenylcysteine carboxyl methyltransferase inhibitors: QSAR, docking and molecular dynamics studies
  5. The System of Self-Consistent Models: The Case of Henry’s Law Constants
  6. Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives
  7. Using the Correlation Intensity Index to Build a Model of Cardiotoxicity of Piperidine Derivatives
  8. The enhancement scheme for the predictive ability of QSAR: A case of mutagenicity
  9. QSPR and Nano-QSPR: Which One Is Common? The Case of Fullerenes Solubility
  10. The validation of predictive potential via the system of self-consistent models: the simulation of blood–brain barrier permeation of organic compounds
  11. Prediction of n-octanol–water partition coefficient of platinum (IV) complexes using correlation weights of fragments of local symmetry
  12. Development of Self-Consistency Models of Anticancer Activity of Nanoparticles under Different Experimental Conditions Using Quasi-SMILES Approach
  13. A Nano-QSTR model to predict nano-cytotoxicity: an approach using human lung cells data
  14. The system of self-consistent models for pesticide toxicity to Daphnia magna
  15. CORAL: Model of Ecological Impact of Heavy Metals on Soils via the Study of Modification of Concentration of Biomolecules in Earthworms (Eisenia fetida)
  16. The System of Self-Consistent Models: QSAR Analysis of Drug-Induced Liver Toxicity
  17. Machine-learning technique, QSAR and molecular dynamics for hERG–drug interactions
  18. CORAL Models for Drug-Induced Nephrotoxicity
  19. The validation of predictive potential via the system of self-consistent models: the simulation of blood-brain barrier permeation of organic compounds
  20. Binding organophosphate pesticides to acetylcholinesterase: Risk assessment using the Monte Carlo method
  21. The system of self-consistent models based on quasi-SMILES as a tool to predict the potential of nano-inhibitors of human lung carcinoma cell line A549 for different experimental conditions
  22. In Silico Simulation of Impacts of Metal Nano-Oxides on Cell Viability in THP-1 Cells Based on the Correlation Weights of the Fragments of Molecular Structures and Codes of Experimental Conditions Represented by Means of Quasi-SMILES
  23. Does the accounting of the local symmetry fragments in SMILES improve the predictive potential of the QSPR-model for Henry's law constants?
  24. Quasi-SMILES: Self-consistent models for toxicity of organic chemicals to tadpoles
  25. Computational approach for building QSAR models for inhibition of HIF-1A
  26. Quasi-SMILES for predicting toxicity of Nano-mixtures to Daphnia Magna
  27. Identifications of good and bad structural fragments of hydrazone/2,5-disubstituted-1,3,4-oxadiazole hybrids with correlation intensity index and consensus modelling using Monte Carlo based QSAR studies, their molecular docking and ADME analysis
  28. Monte Carlo technique to study the adsorption affinity of azo dyes by applying new statistical criteria of the predictive potential
  29. A regression-based QSAR-model to predict acute toxicity of aromatic chemicals in tadpoles of the Japanese brown frog (Rana japonica): Calibration, validation, and future developments to support risk assessment of chemicals in amphibians
  30. Binding organophosphate pesticides to acetylcholinesterase: Risk assessment using the Monte Carlo method
  31. Quasi-SMILES as a basis to build up models of endpoints for nanomaterials
  32. Monte Carlo technique to study of the adsorption affinity of azo dyes with applying new statistical criteria of the predictive potential
  33. Monte Carlo Models for Sub-Chronic Repeated-Dose Toxicity: Systemic and Organ-Specific Toxicity
  34. Nanomaterials: Quasi-SMILES as a flexible basis for regulation and environmental risk assessment
  35. Carcinogenicity prediction using the index of ideality of correlation
  36. Use of quasi-SMILES to build models based on quantitative results from experiments with nanomaterials
  37. QSAR based on hybrid optimal descriptors as a tool to predict antibacterial activity against Staphylococcus aureus
  38. The searching for agents for Alzheimer's disease treatment via the system of self-consistent models
  39. QSAR models for soil ecotoxicity: Development and validation of models to predict reproductive toxicity of organic chemicals in the collembola Folsomia candida
  40. The system of self-consistent QSPR-models for refractive index of polymers
  41. How fullerene derivatives (FDs) act on therapeutically important targets associated with diabetic diseases
  42. Monte Carlo based QSGFEAR: prediction of Gibb's free energy of activation at different temperatures using SMILES based descriptors
  43. Semi-correlations as a tool to model for skin sensitization
  44. The System of Self-Consistent QSPR-Models for Refractive Index of Polymers
  45. Application of quasi-SMILES to the model of gold-nanoparticles uptake in A549 cells
  46. Using quasi-SMILES for the predictive modeling of the safety of 574 metal oxide nanoparticles measured in different experimental conditions
  47. The QSAR-search of effective agents towards coronaviruses applying the Monte Carlo method
  48. The System of Self-Consistent of Models: A New Approach to Build Up and Validation of Predictive Models of the Octanol/Water Partition Coefficient for Gold Nanoparticles
  49. Quasi-SMILES as a basis for the development of models for the toxicity of ZnO nanoparticles
  50. The index of ideality of correlation improves the predictive potential of models of the antioxidant activity of tripeptides from frog skin (Litoria rubella)
  51. The Monte Carlo method to build up models of the hydrolysis half-lives of organic compounds
  52. The self-organizing vector of atom-pairs proportions: use to develop models for melting points
  53. Can the Monte Carlo method predict the toxicity of binary mixtures?
  54. The Self-organizing Vector of Atom-pairs Proportions: Use to Develop Models for Melting Points
  55. Paradox of ‘ideal correlations’: improved model for air half-life of persistent organic pollutants
  56. The sequence of amino acids as the basis for the model of biological activity of peptides
  57. The unreliability of the reliability criteria in the estimation of QSAR for skin sensitivity: a pun or a reliable law?
  58. EFSA’s OpenFoodTox: An open source toxicological database on chemicals in food and feed and its future developments
  59. The system of self-consistent semi-correlations as one of the tools of cheminformatics for designing antiviral drugs
  60. How the CORAL software can be used to select compounds for efficient treatment of neurodegenerative diseases?
  61. Prediction of No Observed Adverse Effect Concentration for inhalation toxicity using Monte Carlo approach
  62. Ecosystem ecology: Models for acute toxicity of pesticides towards Daphnia magna
  63. Advancement of predictive modeling of zeta potentials (ζ) in metal oxide nanoparticles with correlation intensity index (CII)
  64. Correlation intensity index: Building up models for mutagenicity of silver nanoparticles
  65. QSAR model for pesticides toxicity to Rainbow Trout based on “ideal correlations”
  66. Zebrafish AC modelling: (Q)SAR models to predict developmental toxicity in zebrafish embryo
  67. SARS-CoV Mpro inhibitory activity of aromatic disulfide compounds: QSAR model
  68. Correlation intensity index: mathematical modeling of cytotoxicity of metal oxide nanoparticles
  69. Interpretable SMILES-based QSAR model of inhibitory activity of sirtuins 1 and 2
  70. Prediction of the self‐accelerating decomposition temperature of organic peroxides
  71. ‘Ideal correlations’ for the predictive toxicity to Tetrahymena pyriformis
  72. Integrated In Silico Models for the Prediction of No-Observed-(Adverse)-Effect Levels and Lowest-Observed-(Adverse)-Effect Levels in Rats for Sub-chronic Repeated-Dose Toxicity
  73. Applying the Monte Carlo technique to build up models of glass transition temperatures of diverse polymers
  74. Fullerenes C60 and C70: a model for solubility by applying the correlation intensity index
  75. The Monte Carlo Method as a Tool to Build up Predictive QSPR/QSAR
  76. Use of the index of ideality of correlation to improve aquatic solubility model
  77. Pesticides, cosmetics, drugs: identical and opposite influences of various molecular features as measures of endpoints similarity and dissimilarity
  78. The index of ideality of correlation and the variety of molecular rings as a base to improve model of HIV-1 protease inhibitors activity
  79. QSPR/QSAR: State-of-Art, Weirdness, the Future
  80. The using of the Index of Ideality of Correlation (IIC) to improve predictive potential of models of water solubility for pesticides
  81. QSPR/QSAR: State-of-art, Weirdness, the Future
  82. QSAR models for biocides: The example of the prediction of Daphnia magna acute toxicity
  83. The use of the index of ideality of correlation to build up models for bioconcentration factor
  84. The index of ideality of correlation: models of the flash points of ternary mixtures
  85. QSAR-Models, Validation, and IIC-Paradox for Drug Toxicity
  86. Whether the Validation of the Predictive Potential of Toxicity Models is a Solved Task?
  87. Application of the Monte Carlo Method for the Prediction of Behavior of Peptides
  88. Predicting acute contact toxicity of organic binary mixtures in honey bees (A. mellifera) through innovative QSAR models
  89. The index of ideality of correlation: models for flammability of binary liquid mixtures
  90. QSPR as a random event: solubility of fullerenes C[60] and C[70]
  91. Combinations of graph invariants and attributes of simplified molecular input-line entry system (SMILES) to build up models for sweetness
  92. QSAR as a random event: criteria of predictive potential for a chance model
  93. Corrigendum to “The application of new HARD-descriptor available from the CORAL software to building up NOAEL models” [Food Chem. Toxicol. 112 (2018) 544–550]
  94. Corrigendum to “CORAL: Binary classifications (active/inactive) for drug-induced liver injury” [Toxicol. Lett. 268 (2017) (February) 51–57]
  95. Corrigendum to “Hybrid optimal descriptors as a tool to predict skin sensitization in accordance to OECD principles” [Toxicol. Lett. 275 (June) (2017) 57–66]
  96. Virtual Screening of Anti-Cancer Compounds: Application of Monte Carlo Technique
  97. Idealization of correlations between optimal simplified molecular input-line entry system-based descriptors and skin sensitization
  98. The Correlation Contradictions Index (CCI): Building up reliable models of mutagenic potential of silver nanoparticles under different conditions using quasi-SMILES
  99. QSPR and nano-QSPR: What is the difference?
  100. The study of the index of ideality of correlation as a new criterion of predictive potential of QSPR/QSAR-models
  101. ”Ideal correlations” for biological activity of peptides
  102. The Index of Ideality of Correlation: QSAR Model of Acute Toxicity for Zebrafish (Danio rerio) Embryo
  103. Does the Index of Ideality of Correlation Detect the Better Model Correctly?
  104. Estimation of 2D autocorrelation descriptors and 2D Monte Carlo descriptors as a tool to build up predictive models for acetylcholinesterase (AChE) inhibitory activity
  105. QSAR Development for Plasma Protein Binding: Influence of the Ionization State
  106. Idealized correlations: prediction of solubility of fullerene in organic solvents
  107. Semi-correlations as a tool to build up categorical (active/inactive) model of GABAA receptor modulator activity
  108. Predicting Cytotoxicity of 2-Phenylindole Derivatives Against Breast Cancer Cells Using Index of Ideality of Correlation
  109. CORAL: Predictive models for cytotoxicity of functionalized nanozeolites based on quasi-SMILES
  110. The index of ideality of correlation: improvement of models for toxicity to algae
  111. Quasi-SMILES: quantitative structure–activity relationships to predict anticancer activity
  112. Use of the index of ideality of correlation to improve models of eco-toxicity
  113. The index of ideality of correlation: hierarchy of Monte Carlo models for glass transition temperatures of polymers
  114. Semi-correlations combined with the index of ideality of correlation: a tool to build up model of mutagenic potential
  115. Quasi-SMILES as a tool to predict removal rates of pharmaceuticals and dyes in sewage
  116. Use of The Index of Ideality of Correlation to improve predictive potential for biochemical endpoints
  117. Prediction of antimicrobial activity of large pool of peptides using quasi-SMILES
  118. Blood Brain Barrier and Alzheimer’s Disease: Similarity and Dissimilarity of Molecular Alerts
  119. SAR for gastro-intestinal absorption and blood-brain barrier permeation of pesticides
  120. Application of the Monte Carlo method for building up models for octanol-water partition coefficient of platinum complexes
  121. Quantitative Structure-activity Relationship Study of Betulinic Acid Derivatives Against HIV using SMILES-based Descriptors
  122. Use of quasi-SMILES to model biological activity of “micelle–polymer” samples
  123. CORAL: Building up QSAR models for the chromosome aberration test
  124. Towards the Development of Global Nano-Quantitative Structure–Property Relationship Models: Zeta Potentials of Metal Oxide Nanoparticles
  125. CORAL: Monte Carlo Method to Predict Endpoints for Medical Chemistry
  126. Editorial; Impact of Drug Metabolism and its Relevance upon Drug Discovery
  127. CORAL: QSAR models for carcinogenicity of organic compounds for male and female rats
  128. The application of new HARD-descriptor available from the CORAL software to building up NOAEL models
  129. Prediction of Biochemical Endpoints by the CORAL Software: Prejudices, Paradoxes, and Results
  130. Mutagenicity, Anticancer activity, and Blood brain barrier: Similarity and dissimilarity of molecular alerts
  131. QSPR analysis of threshold of odor for the large number of heterogenic chemicals
  132. QSAR model for blood-brain barrier permeation
  133. Improved Model for Biodegradability of Organic Compounds: The Correlation Contributions of Rings
  134. Meet Our Editorial Board Member
  135. QSAR of antimycobacterial activity of benzoxazoles by optimal SMILES-based descriptors
  136. Index of Ideality of Correlation: new possibilities to validate QSAR: a case study
  137. Developing innovative in silico models with EFSA's OpenFoodTox database
  138. QSAR models for predicting acute toxicity of pesticides in rainbow trout using the CORAL software and EFSA’s OpenFoodTox database
  139. The index of ideality of correlation: A criterion of predictive potential of QSPR/QSAR models?
  140. Prediction of gas chromatographic retention indices based on Monte Carlo method
  141. Hybrid optimal descriptors as a tool to predict skin sensitization in accordance to OECD principles
  142. Utilization of the Monte Carlo method to build up QSAR models for hemolysis and cytotoxicity of antimicrobial peptides
  143. CORAL and Nano-QFAR: Quantitative feature – Activity relationships (QFAR) for bioavailability of nanoparticles (ZnO, CuO, Co 3 O 4 , and TiO 2 )
  144. The index of ideality of correlation: A criterion of predictability of QSAR models for skin permeability?
  145. Meet Our Editorial Board Member
  146. Nano-QSAR in cell biology: Model of cell viability as a mathematical function of available eclectic data
  147. CORAL: Binary classifications (active/inactive) for drug-induced liver injury
  148. Large-scale classification of P-glycoprotein inhibitors using SMILES-based descriptors
  149. Development of Monte Carlo Approaches in Support of Environmental Research
  150. Contributors
  151. Quasi-SMILES as a Novel Tool for Prediction of Nanomaterials′ Endpoints
  152. Improved building up a model of toxicity towards Pimephales promelas by the Monte Carlo method
  153. Meet Our Editorial Board Member
  154. Odor threshold prediction by means of the Monte Carlo method
  155. Quantitative structure–activity relationship models for bee toxicity
  156. The Utilization of the Monte Carlo Technique for Rational Drug Discovery
  157. Quasi-SMILES and nano-QFPR: The predictive model for zeta potentials of metal oxide nanoparticles
  158. Monte Carlo-based quantitative structure-activity relationship models for toxicity of organic chemicals toDaphnia magna
  159. QSPR Model for Dispersibility of Graphene in Various Solvents
  160. Evolution of Optimal Descriptors
  161. The Monte Carlo technique as a tool to predict LOAEL
  162. Assessment of nano-QSPR models of organic contaminant absorption by carbon nanotubes for ecological impact studies
  163. Monte Carlo method for predicting of cardiac toxicity: hERG blocker compounds
  164. Towards predicting the solubility of CO2and N2in different polymers using a quasi-SMILES based QSPR approach
  165. Model for electrochemical parameters for 4-(benzylsulfanyl)pyridines calculated from the molecular structure
  166. Building up a QSAR model for toxicity toward Tetrahymena pyriformis by the Monte Carlo method: A case of benzene derivatives
  167. Nano-QSAR: Model of mutagenicity of fullerene as a mathematical function of different conditions
  168. QSAR model for predicting cell viability of human embryonic kidney cells exposed to SiO 2 nanoparticles
  169. Quasi-SMILES as a tool to utilize eclectic data for predicting the behavior of nanomaterials
  170. QSAR Model for Cytotoxicity of Silica Nanoparticles on Human Embryonic Kidney Cells1
  171. Quasi-SMILES for Nano-QSAR Prediction of Toxic Effect of Al2O3 Nanoparticles
  172. Development of the Latest Tools for Building up “Nano-QSAR”: Quantitative Features—Property/Activity Relationships (QFPRs/QFARs)
  173. QSAR modeling of the antimicrobial activity of peptides as a mathematical function of a sequence of amino acids
  174. Quasi-SMILES and nano-QFAR: United model for mutagenicity of fullerene and MWCNT under different conditions
  175. In silico prediction of the β-cyclodextrin complexation based on Monte Carlo method
  176. Prediction of retention characteristics of heterocyclic compounds
  177. Searching therapeutic agents for treatment of Alzheimer disease using the Monte Carlo method
  178. CORAL: Prediction of binding affinity and efficacy of thyroid hormone receptor ligands
  179. QSPR models for estimating retention in HPLC with the p solute polarity parameter based on the Monte Carlo method
  180. Large-scale structure-activity relationship study of hepatitis C virus NS5B polymerase inhibition using SMILES-based descriptors
  181. CORAL: Model for octanol/water partition coefficient
  182. Use of Quasi-SMILES and Monte Carlo Optimization to Develop Quantitative Feature Property/Activity Relationships (QFPR/QFAR) for Nanomaterials
  183. Editorial (Thematic Issue: From Chemoinformatics to Nanoinformatics: New Tools for Drug Discovery and Nanoparticles Design in Medicinal Chemistry)
  184. Prediction of the Q-e parameters from structures of transfer chain agents
  185. Amino substituted nitrogen heterocycle ureas as kinase insert domain containing receptor (KDR) inhibitors: Performance of structure–activity relationship approaches
  186. The Monte Carlo Method Based on Eclectic Data as an Efficient Tool for Predictions of Endpoints for Nanomaterials - Two Examples of Application
  187. Mutagenicity: QSAR - quasi-QSAR - nano-QSAR
  188. CORAL: model for no observed adverse effect level (NOAEL)
  189. Quasi-QSAR for mutagenic potential of multi-walled carbon-nanotubes
  190. QSAR Models for the Reactivation of Sarin Inhibited Acetylcholinesterase by Quaternary Pyridinium Oximes Based on Monte Carlo Method
  191. QSAR model as a random event: A case of rat toxicity
  192. Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions
  193. A quasi-QSPR modelling for the photocatalytic decolourization rate constants and cellular viability (CV%) of nanoparticles by CORAL
  194. QSPR studies on refractive indices of structurally heterogeneous polymers
  195. QSAR as a random event: a case of NOAEL
  196. Monte Carlo Method-Based QSAR Modeling of Penicillins Binding to Human Serum Proteins
  197. Large-scale QSAR study of aromatase inhibitors using SMILES-based descriptors
  198. Optimal descriptor as a translator of eclectic information into the prediction of membrane damage: The case of a group of ZnO and TiO2 nanoparticles
  199. Optimal nano-descriptors as translators of eclectic data into prediction of the cell membrane damage by means of nano metal-oxides
  200. Discovery of Potential, Non-Toxic Influenza Virus Inhibitor by Computational Techniques
  201. QSAR models for 1,2,4-benzotriazines as Src inhibitors based on Monte Carlo method
  202. AconitumandDelphiniumDiterpenoid Alkaloids of Local Anesthetic Activity: Comparative QSAR Analysis Based on GA-MLRA/PLS and Optimal Descriptors Approach
  203. Optimal descriptor as a translator of eclectic data into endpoint prediction: Mutagenicity of fullerene as a mathematical function of conditions
  204. QSAR Models for Anti-Malarial Activity of 4-Aminoquinolines
  205. Conformation-independent QSAR on c-Src tyrosine kinase inhibitors
  206. QSAR models for HEPT derivates as NNRTI inhibitors based on Monte Carlo method
  207. Optimal descriptors as a tool to predict the thermal decomposition of polymers
  208. Comprehension of drug toxicity: Software and databases
  209. CORAL software: Prediction of carcinogenicity of drugs by means of the Monte Carlo method
  210. QSAR model for cytotoxicity of SiO2 nanoparticles on human lung fibroblasts
  211. Monte Carlo Method Based QSAR Modeling of Coumarin Derivates as Potent HIV‐1 Integrase Inhibitors and Molecular Docking Studies of Selected 4‐phenyl Hydroxycoumarins
  212. Building up QSAR model for toxicity of psychotropic drugs by the Monte Carlo method
  213. ChemInform Abstract: OCWLGI Descriptors: Theory and Praxis
  214. Optimal descriptor as a translator of eclectic information into the prediction of membrane damage by means of various TiO2 nanoparticles
  215. In silico methods to predict drug toxicity
  216. SMILES-based quantitative structure–property relationships for half-wave potential of N-benzylsalicylthioamides
  217. Optimal descriptor as a translator of eclectic information into the prediction of thermal conductivity of micro-electro-mechanical systems
  218. SMILES-based quantitative structure–retention relationships for RP HPLC of 1-phenyl-5-benzylsulfanyltetrazoles
  219. QSAR as a random event: Modeling of nanoparticles uptake in PaCa2 cancer cells
  220. OCWLGI Descriptors: Theory and Praxis
  221. CORAL: QSPRs of enthalpies of formation of organometallic compounds
  222. QSAR models for inhibitors of physiological impact of Escherichia coli that leads to diarrhea
  223. CORAL: Classification Model for Predictions of Anti-Sarcoma Activity
  224. SMILES-based QSAR model for arylpiperazines as high-affinity 5-HT1A receptor ligands using CORAL
  225. CORAL: QSPR model of water solubility based on local and global SMILES attributes
  226. Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method
  227. The definition of the molecular structure for potential anti-malaria agents by the Monte Carlo method
  228. SMILES-Based QSAR Models for the Calcium Channel-Antagonistic Effect of 1,4-Dihydropyridines
  229. CORAL: Monte Carlo Method as a Tool for the Prediction of the Bioconcentration Factor of Industrial Pollutants
  230. Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli
  231. CORAL: Models of toxicity of binary mixtures
  232. CORAL: Binary Classifications (Active/Inactive) for Liver-Related Adverse Effects of Drugs
  233. CORAL: Quantitative models for estimating bioconcentration factor of organic compounds
  234. Calculation of Molecular Features with Apparent Impact on Both Activity of Mutagens and Activity of Anticancer Agents
  235. The average numbers of outliers over groups of various splits into training and test sets: A criterion of the reliability of a QSPR? A case of water solubility
  236. SMILES-based QSPR model for half-wave potentials of 1-phenyl-5-benzyl-sulfanyltetrazoles using CORAL
  237. Coral: QSPR modeling of rate constants of reactions between organic aromatic pollutants and hydroxyl radical
  238. QSAR modeling of endpoints for peptides which is based on representation of the molecular structure by a sequence of amino acids
  239. QSAR models for ACE-inhibitor activity of tri-peptides based on representation of the molecular structure by graph of atomic orbitals and SMILES
  240. CORAL: Predictions of rate constants of hydroxyl radical reaction using representation of the molecular structure obtained by combination of SMILES and Graph approaches
  241. QSAR Models for Toxicity of Organic Substances to Daphnia magna Built up by Using the CORAL Freeware
  242. CORAL: QSAR modeling of toxicity of organic chemicals towards Daphnia magna
  243. Coral: QSAR models for acute toxicity in fathead minnow (Pimephales promelas)
  244. CORAL: the prediction of biodegradation of organic compounds with optimal SMILES-based descriptors
  245. SMILES-based QSAR Approaches for Carcinogenicity and Anticancer Activity: Comparison of Correlation Weights for Identical SMILES Attributes
  246. Comparison of SMILES and molecular graphs as the representation of the molecular structure for QSAR analysis for mutagenic potential of polyaromatic amines
  247. SMILES-based optimal descriptors: QSAR modeling of estrogen receptor binding affinity by correlation balance
  248. QSAR modeling of anxiolytic activity taking into account the presence of keto- and enol-tautomers by balance of correlations with ideal slopes
  249. CORAL: Quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats
  250. coral Software: QSAR for Anticancer Agents
  251. CORAL: Building up the model for bioconcentration factor and defining it’s applicability domain
  252. Simplified Molecular Input-Line Entry System and International Chemical Identifier in the QSAR Analysis of Styrylquinoline Derivatives as HIV-1 Integrase Inhibitors
  253. A first real nano-QSAR model to predict toxicity of metal oxide nanomaterials
  254. Improved model for fullerene C60 solubility in organic solvents based on quantum-chemical and topological descriptors
  255. Co-evolutions of correlations for QSAR of toxicity of organometallic and inorganic substances: An unexpected good prediction based on a model that seems untrustworthy
  256. QSAR modelling toxicity toward rats of inorganic substances by means of CORAL
  257. Analysis of the co-evolutions of correlations as a tool for QSAR-modeling of carcinogenicity: an unexpected good prediction based on a model that seems untrustworthy
  258. A new bioconcentration factor model based on SMILES and indices of presence of atoms
  259. SMILES-based optimal descriptors: QSAR modeling of carcinogenicity by balance of correlations with ideal slopes
  260. QSAR modeling of measured binding affinity for fullerene-based HIV-1 PR inhibitors by CORAL
  261. InChI-based optimal descriptors: QSAR analysis of fullerene[C60]-based HIV-1 PR inhibitors by correlation balance
  262. QSPR modeling of octanol/water partition coefficient of antineoplastic agents by balance of correlations
  263. CORAL: QSPR models for solubility of [C60] and [C70] fullerene derivatives
  264. QSPR modelling of normal boiling points and octanol/water partition coefficient for acyclic and cyclic hydrocarbons using SMILES-based optimal descriptors
  265. QSPR modeling of enthalpies of formation for organometallic compounds by SMART-based optimal descriptors
  266. QSAR analysis of 1,4-dihydro-4-oxo-1-(2-thiazolyl)-1,8-naphthyridines exhibiting anticancer activity by optimal SMILES-based descriptors
  267. QSAR modelling of the toxicity to Tetrahymena pyriformis by balance of correlations
  268. Use of the international chemical identifier for constructing QSPR-model of normal boiling points of acyclic carbonyl substances
  269. Additive SMILES-Based Carcinogenicity Models: Probabilistic Principles in the Search for Robust Predictions
  270. QSPR modeling bioconcentration factor (BCF) by balance of correlations
  271. QSAR-modeling of toxicity of organometallic compounds by means of the balance of correlations for InChI-based optimal descriptors
  272. Simplified Molecular Input Line Entry System-Based Optimal Descriptors: Quantitative Structure-Activity Relationship Modeling Mutagenicity of Nitrated Polycyclic Aromatic Hydrocarbons
  273. Erratum
  274. QSAR Modelling for Mutagenic Potency of Heteroaromatic Amines by Optimal SMILES-based Descriptors
  275. QSAR modelling of carcinogenicity by balance of correlations
  276. Additive InChI-based optimal descriptors: QSPR modeling of fullerene C 60 solubility in organic solvents
  277. SMILES-based optimal descriptors: QSAR analysis of fullerene-based HIV-1 PR inhibitors by means of balance of correlations
  278. QSPR modelling of the octanol/water partition coefficient of organometallic substances by optimal SMILES-based descriptors
  279. QSPR modeling of octanol water partition coefficient of platinum complexes by InChI-based optimal descriptors
  280. QSPR modeling for enthalpies of formation of organometallic compounds by means of SMILES-based optimal descriptors
  281. QSAR modeling of acute toxicity by balance of correlations
  282. Multiplicative SMILES-based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents
  283. Multiple Linear Regression Analysis and Optimal Descriptors: Predicting the Cholesteryl Ester Transfer Protein Inhibition Activity
  284. Additive SMILES-based optimal descriptors in QSAR modelling bee toxicity: Using rare SMILES attributes to define the applicability domain
  285. QSPR modeling of octanol/water partition coefficient for vitamins by optimal descriptors calculated with SMILES
  286. New Approach to QSPR Modeling of Fullerene C60 Solubility in Organic Solvents: An Application of SMILES-Based Optimal Descriptors
  287. Predicting thermal conductivity of nanomaterials by correlation weighting technological attributes codes
  288. Additive SMILES based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents
  289. SMILES in QSPR/QSAR Modeling: Results and Perspectives
  290. QSPR study on solubility of fullerene C60 in organic solvents using optimal descriptors calculated with SMILES
  291. QSAR Modeling of Acute Toxicity for Nitrobenzene Derivatives Towards Rats: Comparative Analysis by MLRA and Optimal Descriptors
  292. Optimisation of correlation weights of SMILES invariants for modelling oral quail toxicity
  293. Predicting water solubility and octanol water partition coefficient for carbon nanotubes based on the chiral vector
  294. QSAR Modeling of PeripheralVersus Central Benzodiazepine Receptor Binding Affinity of 2-Phenylimidazo[1,2-a]pyridineacetamides using Optimal Descriptors Calculated with SMILES
  295. SMILES as an alternative to the graph in QSAR modelling of bee toxicity
  296. Characterization of chemical structures
  297. Results of DEMETRA models
  298. A new approach to the characterization of nanomaterials: Predicting Young’s modulus by correlation weighting of nanomaterials codes
  299. QSPR modeling of the half-wave potentials of benzoxazines by optimal descriptors calculated with the SMILES
  300. Comparison of QSPR models of octanol/water partition coefficient for vitamins and non vitamins
  301. QSPR modeling mineral crystal lattice energy by optimal descriptors of the graph of atomic orbitals
  302. Correlation weighting of valence shells in QSAR analysis of toxicity
  303. QSAR models for Daphnia toxicity of pesticides based on combinations of topological parameters of molecular structures
  304. QSAR models of quail dietary toxicity based on the graph of atomic orbitals
  305. QSPR-modeling of oligophenylene melting points
  306. Improved QSAR modeling of anti-HIV-1 acivities by means of the optimized correlation weights of local graph invariants
  307. QSAR of the testosterone binding globulin affinity by means of correlation weighting of local invariants of the graph of atomic orbitals
  308. QSPR Modeling of Gibbs Free Energy of Organic Compounds by Weighting of Nearest Neighboring Codes
  309. QSPR modeling of the water solubility of diverse functional aliphatic compounds by optimization of correlation weights of local graph invariants
  310. Graph of atomic orbitals and the molecular structure-descriptors based on it
  311. QSPR Calculation of Normal Boiling Points of Organic Molecules Based on the Use of Correlation Weighting of Atomic Orbitals with Extended Connectivity of Zero- and First-Order Graphs of Atomic Orbitals
  312. Special Issue on Flexible Molecular Descriptors
  313. Nearest neighboring code and hydrogen bond index in labeled hydrogen-filled graph and graph of atomic orbitals: application to model of normal boiling points of haloalkanes
  314. QSPR Modeling of the Reactivity Parameters of Monomers in Radical Copolymerizations
  315. QSPR Modeling of Complex Stability by Correlation Weighing of the Topological and Chemical Invariants of Molecular Graphs
  316. QSAR Modeling ANTI-HIV-1 Activities by Optimization of Correlation Weights of Local Graph Invariants
  317. QSPR modeling of vitrification temperatures for polyarylene oxides
  318. QSAR modelling of aldehyde toxicity against a protozoan, Tetrahymena pyriformis by optimization of correlation weights of nearest neighboring codes
  319. QSAR modelling of aldehyde toxicity by means of optimisation of correlation weights of nearest neighbouring codes
  320. QSPR Modeling of Lipid-Water Partition Coefficient by Optimization of Correlation Weights of Local Graph Invariants.
  321. QSPR MODELING OF ENTHALPIES OF FORMATION FROM ELEMENTS OF COORDINATION COMPOUNDS BY CORRELATION WEIGHTING OF NEAREST NEIGHBORING CODES
  322. Prediction of alkane enthalpies by means of correlation weighting of Morgan extended connectivity in molecular graphs
  323. QSPR Modeling of Lipid-Water Partition Coefficient by Optimization of Correlation Weights of Local Graph Invariants
  324. QSPR modeling aqueous solubility of polychlorinated biphenyls by optimization of correlation weights of local and global graph invariants
  325. QSPR modeling the aqueous solubility of alcohols by optimization of correlation weights of local graph invariants
  326. An Improved QSPR Modeling of Hydrocarbon Dipole Moments
  327. Comparison of QSAR models of anti-HIV-1 potencies based on labeled hydrogen filled graph and graph of atomic orbitals
  328. QSAR study of the toxic action of aliphatic compounds to the bacteria Vibrio fisheri based on correlation weighting of local graph invariants
  329. QSPR modeling of alkanes properties based on graph of atomic orbitals
  330. QSPR modeling of cycloalkanes properties by correlation weighting of extended graph valence shells
  331. Prediction of Aquatic Toxicity: Use of Optimization of Correlation Weights of Local Graph Invariants
  332. QSAR modeling of dihydrofolate reductase inhibitory activity by correlation weighting of nearest neighboring codes
  333. Improved QSPR analysis of standard entropy of acyclic and aromatic compounds using optimized correlation weights of linear graph invariants
  334. 3D and 4D molecular models derived from the ideal symmetry method: prediction of alkanes normal boiling points
  335. Modeling of acyclic carbonyl compounds normal boiling points by correlation weighting of nearest neighboring codes
  336. QSAR modeling of toxicity on optimization of correlation weights of Morgan extended connectivity
  337. Calculation of pK values of flavylium salts from the optimization of correlation weights of local graph invariants
  338. Improved molecular descriptors to calculate boiling points based on the optimization of correlation weights of local graph invariants
  339. Maximum topological distance-based indices as molecular descriptors for QSPR. 3 ? Calculation of the hydrophobicity of polyaromatic hydrocarbons
  340. Modeling of lipophilicity by means of correlation weighting of local graph invariants
  341. Prediction of heteroaromatic amine mutagenicity by means of correlation weighting of atomic orbital graphs of local invariants
  342. Maximum topological distances based indices as molecular descriptors for QSPR
  343. Maximum topological distances based indices as molecular descriptors for QSPR. Part 1. Application to alkyl benzenes boiling points
  344. Calculation of total molecular electronic energies from Correlation Weighting of Local Graph Invariants
  345. QSPR/QSAR Analyses by Means of the CORAL Software
  346. An Effective Visualization and Analysis Method for Edge Measurement
  347. QSPR/QSAR Analyses by Means of the CORAL Software
  348. Quasi-SMILES for Nano-QSAR Prediction of Toxic Effect of Al2O3 Nanoparticles