All Stories

  1. Rapid Design of Efficient Mn3O4‐Based Photocatalysts by Machine Learning and Density Functional Theory Calculations
  2. Noble Gases in Medicine: Current Status and Future Prospects
  3. Impact of inhibition mechanisms, automation, and computational models on the discovery of organic corrosion inhibitors
  4. Self-Organizing Maps for Secondary Ion Mass Spectrometry
  5. Exploring the Performance of Linear and Nonlinear Models of Time-of-Flight Secondary Ion Mass Spectrometry Spectra
  6. Computational repurposing of drugs for viral diseases and current and future pandemics
  7. Selection of Electrolyte Additives for Enhanced Mg-Air Battery Performance Supported By Data-Driven Approach
  8. Rational Atom Substitution to Obtain Efficient, Lead‐Free Photocatalytic Perovskites Assisted by Machine Learning and DFT Calculations
  9. Rational Atom Substitution to Obtain Efficient, Lead‐Free Photocatalytic Perovskites Assisted by Machine Learning and DFT Calculations
  10. Identifying factors controlling cellular uptake of gold nanoparticles by machine learning
  11. A Predictive Model for Monolayer‐Selective Metal‐Mediated MoS2 Exfoliation Incorporating Electrostatics
  12. Signalling pathway crosstalk stimulated by L-proline drives mouse embryonic stem cells to primitive-ectoderm-like cells
  13. Effect of data preprocessing and machine learning hyperparameters on mass spectrometry imaging models
  14. Exploiting Advances in Automation and Artificial Intelligence to Find Drugs for Neglected Tropical Diseases
  15. Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation
  16. Multi-Dimensional Machine Learning Analysis of Polyaniline Films Using Stitched Hyperspectral ToF-SIMS Data
  17. Linear Binary Classifier to Predict Bacterial Biofilm Formation on Polyacrylates
  18. Identifying SARS-CoV-2 Drugs Binding to the Spike Fatty Acid Binding Pocket Using In Silico Docking and Molecular Dynamics
  19. Exploring the Relationship between Polymer Surface Chemistry and Bacterial Attachment Using ToF‐SIMS and Self‐Organizing maps
  20. Signalling pathway crosstalk stimulated by L-proline drives differentiation of mouse embryonic stem cells to primitive-ectoderm-like cells
  21. Identifying medically relevant xenon protein targets by in silico screening of the structural proteome
  22. Discovery and Design of Radiopharmaceuticals by In silico Methods
  23. Corrosion Inhibition, Inhibitor Environments, and the Role of Machine Learning
  24. Machine Learning in the Development of Adsorbents for Clean Energy Application and Greenhouse Gas Capture
  25. Fusing ToF‐SIMS Images for Spatial‐Spectral Resolution Enhancement using a Convolutional Neural Network
  26. Feature importance in machine learning models: A fuzzy information fusion approach
  27. Protein corona formation on silver nanoparticles under different conditions
  28. Probing the properties of molecules and complex materials using machine learning
  29. European Registry of Materials: global, unique identifiers for (undisclosed) nanomaterials
  30. Energy Interplay in Materials: Unlocking Next‐Generation Synchronous Multisource Energy Conversion with Layered 2D Crystals
  31. The impact of machine learning on future tuberculosis drug discovery
  32. Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery
  33. Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase
  34. Two-Dimensional and Three-Dimensional Time-of-Flight Secondary Ion Mass Spectrometry Image Feature Extraction Using a Spatially Aware Convolutional Autoencoder
  35. Machine Learning-assisted Exploration of a Universal Polymer Platform with Charge Transfer-dependent Full-color Emission
  36. Computational Repurposing of Drugs and Natural Products Against SARS-CoV-2 Main Protease (Mpro) as Potential COVID-19 Therapies
  37. Potential COVID-19 therapies from computational repurposing of drugs and natural products against the SARS-CoV-2 helicase
  38. Applications of multivariate analysis and unsupervised machine learning to ToF-SIMS images of organic, bioorganic, and biological systems
  39. Potent antimalarial drugs with validated activities
  40. A bright future for engineering piezoelectric 2D crystals
  41. Data-driven selection of electrolyte additives for aqueous magnesium batteries
  42. Rational Repurposing of Drugs, Clinical Trial Candidates, and Natural Products for SARS-CoV-2 Therapy
  43. Nanoparticle-protein corona complex: understanding multiple interactions between environmental factors, corona formation, and biological activity
  44. Computationally repurposed drugs and natural products against RNA dependent RNA polymerase as potential COVID-19 therapies
  45. Author Correction: In silico comparison of SARS-CoV-2 spike protein-ACE2 binding affinities across species and implications for virus origin
  46. Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts
  47. Active Learning in Bayesian Neural Networks for Bandgap Predictions of Novel Van der Waals Heterostructures
  48. Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations
  49. A systematic comparison of the structural and dynamic properties of commonly used water models for molecular dynamics simulations
  50. In silico comparison of SARS-CoV-2 spike protein-ACE2 binding affinities across species and implications for virus origin
  51. Overcoming roadblocks in computational roadmaps to the future for safe nanotechnology
  52. Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip
  53. Use of Artificial Intelligence and Machine Learning for Discovery of Drugs for Neglected Tropical Diseases
  54. Potent In Vitro Peptide Antagonists of the Thrombopoietin Receptor as Potential Myelofibrosis Drugs
  55. Exploring structure-property relationships in magnesium dissolution modulators
  56. A critical overview of computational approaches employed for COVID-19 drug discovery
  57. Biomedical nanomaterials: applications, toxicological concerns, and regulatory needs
  58. A first proposal for how to represent nanomaterials' composition and structure in a standardised way
  59. Evolutionary design of optimal surface topographies for biomaterials
  60. FACS in the 21st century
  61. Machine learning property prediction for organic photovoltaic devices
  62. Single-Cell Tracking on Polymer Microarrays Reveals the Impact of Surface Chemistry on Pseudomonas aeruginosa Twitching Speed and Biofilm Development
  63. Analyzing 3D hyperspectral TOF-SIMS depth profile data using self-organizing map-relational perspective mapping
  64. Ligand Entropy Is Hard but Should Not Be Ignored
  65. Micro topographical instruction of bacterial attachment, biofilm formation and in vivo host response
  66. The electronic structure of bicyclo[2.2.2]octa-2,5-dione
  67. High Throughput Screening of Millions of van der Waals Heterostructures for Superlubricant Applications
  68. Self-Organizing Map and Relational Perspective Mapping for the Accurate Visualization of High-Dimensional Hyperspectral Data
  69. Role of Artificial Intelligence and Machine Learning in Nanosafety
  70. Immune-Instructive Polymers Control Macrophage Phenotype and Modulate the Foreign Body Response In Vivo
  71. Antifibrotic strategies for medical devices
  72. New materials that protect against fungal attack
  73. Evolutionary design of optimal surface topographies for biomaterials
  74. Synergistic Material-Topography Combinations to Achieve Immunomodulatory Osteogenic Biomaterials
  75. Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation
  76. In silico screening of modulators of magnesium dissolution
  77. NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment
  78. Correction: QSAR without borders
  79. QSAR without borders
  80. Chapter 9. Machine Learning at the (Nano)materials-biology Interface
  81. Predicting Thermal Properties of Crystals Using Machine Learning
  82. Hydration and Dynamics of Ligands Determine the Antifouling Capacity of Functionalized Surfaces
  83. Computational Nanotoxicology
  84. Coatings Releasing the Relaxin Peptide Analogue B7-33 Reduce Fibrotic Encapsulation
  85. Information conte t of surface analysis data sets
  86. Rapid evaluation of immobilized immunoglobulins using automated mass-segmented ToF-SIMS
  87. Massive in Silico Study of Noble Gas Binding to the Structural Proteome
  88. Toward Interpretable Machine Learning Models for Materials Discovery
  89. Optimal machine learning models for robust materials classification using ToF-SIMS data
  90. Effect of mass segment size on polymer ToF-SIMS multivariate analysis using a universal data matrix
  91. Quantifying and extending a useful heuristic for designing low protein attachment materials
  92. Evolving the materials and design of robots simultaneously
  93. Efficient Prediction of Structural and Electronic Properties of Hybrid 2D Materials Using Complementary DFT and Machine Learning Approaches
  94. High-Throughput Assessment and Modeling of a Polymer Library Regulating Human Dental Pulp-Derived Stem Cell Behavior
  95. Distinguishing Chemically Similar Polyamide Materials with ToF-SIMS Using Self-Organizing Maps and a Universal Data Matrix
  96. Decoding the Rich Biological Properties of Noble Gases: How Well Can We Predict Noble Gas Binding to Diverse Proteins?
  97. Corrigendum: Validating Eaton's Hypothesis: Cubane as a Benzene Bioisostere
  98. Opening the black box of neural networks: methods for interpreting neural network models in clinical applications
  99. Multivariate analysis of ToF-SIMS data using mass segmented peak lists
  100. Sparse QSAR modelling methods for therapeutic and regenerative medicine
  101. Prediction of Broad-Spectrum Pathogen Attachment to Coating Materials for Biomedical Devices
  102. Correction to Competitive Inhibition Mechanism of Acetylcholinesterase without Catalytic Active Site Interaction: Study on Functionalized C60 Nanoparticles via in Vitro and in Silico Assays
  103. Predicting the Performance of Organic Corrosion Inhibitors
  104. Correction to “Modeling the Influence of Fatty Acid Incorporation on Mesophase Formation in Amphiphilic Therapeutic Delivery Systems”
  105. Correction to Materials Genome in Action: Identifying the Performance Limits of Physical Hydrogen Storage
  106. Biomimetic molecular design tools that learn, evolve, and adapt
  107. Competitive Inhibition Mechanism of Acetylcholinesterase without Catalytic Active Site Interaction: Study on Functionalized C60 Nanoparticles via in Vitro and in Silico Assays
  108. Computational Modeling and Simulation of CO2 Capture by Aqueous Amines
  109. Toward a systematic exploration of nano-bio interactions
  110. Computers can accelerate design of magnetic agents for the diagnosis & treatment of serious illneses
  111. Materials Genome in Action: Identifying the Performance Limits of Physical Hydrogen Storage
  112. De novo Drug Design - Ye olde Scoring Problem Revisited
  113. Computational Approaches
  114. Abstract B032: The PI3K-γ inhibitor, IPI-549, increases antitumor immunity by targeting tumor-associated myeloid cells and remodeling the immune-suppressive tumor microenvironment
  115. Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR
  116. Aluminum toxicity risk reduction as a result of reduced acid deposition in Adirondack lakes and ponds
  117. Molecular Markers for Pyrethrin Autoxidation in Stored Pyrethrum Crop: Analysis and Structure Determination
  118. 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
  119. A renaissance of neural networks in drug discovery
  120. A thrombopoietin receptor antagonist is capable of depleting myelofibrosis hematopoietic stem and progenitor cells
  121. Introduction to a review series on advances in cell-based immune therapeutics in hematology
  122. Discovery and Optimization of Materials Using Evolutionary Approaches
  123. An Experimental and Computational Approach to the Development of ZnO Nanoparticles that are Safe by Design
  124. Recent advances, and unresolved issues, in the application of computational modelling to the prediction of the biological effects of nanomaterials
  125. Using high throughput experimental data and in silico models to discover alternatives to toxic chromate corrosion inhibitors
  126. Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches
  127. The diverse biological properties of the chemically inert noble gases
  128. Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)
  129. Modeling the Influence of Fatty Acid Incorporation on Mesophase Formation in Amphiphilic Therapeutic Delivery Systems
  130. Validating Eaton's Hypothesis: Cubane as a Benzene Bioisostere
  131. Understanding the Roles of the “Two QSARs”
  132. Chemistry space–time
  133. Surface-water Interface Induces Conformational Changes Critical for Protein Adsorption: Implications for Monolayer Formation of EAS Hydrophobin
  134. Robust Prediction of Personalized Cell Recognition from a Cancer Population by a Dual Targeting Nanoparticle Library
  135. Working out how good a predictive model is
  136. Relevance Vector Machines: Sparse Classification Methods for QSAR
  137. A Bright Future for Evolutionary Methods in Drug Design
  138. Discovery of a Novel Polymer for Human Pluripotent Stem Cell Expansion and Multilineage Differentiation
  139. Using modern mathematics to discover new biological mechanisms
  140. Sparse feature selection identifies H2A.Z as a novel, pattern-specific biomarker for asymmetrically self-renewing distributed stem cells
  141. Brooktrout Lake Case Study: Biotic Recovery from Acid Deposition 20 Years after the 1990 Clean Air Act Amendments
  142. Thermostability and reversibility of silver nanoparticle–protein binding
  143. Towards computational design of zeolite catalysts for CO2 reduction
  144. Adrien Albert Award: How to Mine Chemistry Space for New Drugs and Biomedical Therapies
  145. Immobilisation of a thrombopoietin peptidic mimic by self-assembled monolayers for culture of CD34+ cells
  146. A Thrombopoietin Antagonist Is Capable of Affecting Stem and Progenitor Cells of Patients with Myelofibrosis
  147. Understanding how nanoparticles affect biology
  148. Illuminating Flash Point: Comprehensive Prediction Models
  149. Contrasting Effects of Nanoparticle Binding on Protein Denaturation
  150. Materials for stem cell factories of the future
  151. Getting to the Source: Selective Drug Targeting of Cancer Stem Cells
  152. Ultrafast Fabrication of Covalently Cross-linked Multifunctional Graphene Oxide Monoliths
  153. Modelling and predicting the biological effects of nanomaterials
  154. Towards chromate-free corrosion inhibitors: structure–property models for organic alternatives
  155. Materiomics
  156. Modelling and Prediction of Bacterial Attachment to Polymers
  157. Applying quantitative structure–activity relationship approaches to nanotoxicology: Current status and future potential
  158. Mesenchymal stromal cell turnover in the normal adult lung revisited
  159. Development of ligand-immobilised surfaces for ex vivo expansion of haemopoietic stem cells
  160. Aqueous Solubility Prediction: Do Crystal Lattice Interactions Help?
  161. Predicting the Effect of Lipid Structure on Mesophase Formation during in Meso Crystallization
  162. Potent Agonists of a Hematopoietic Stem Cell Cytokine Receptor, c-Mpl
  163. Predicting the Complex Phase Behavior of Self-Assembling Drug Delivery Nanoparticles
  164. Correction to Capturing the Crystal: Prediction of Enthalpy of Sublimation, Crystal Lattice Energy, and Melting Points of Organic Compounds
  165. Computational Modeling and Prediction of the Complex Time-Dependent Phase Behavior of Lyotropic Liquid Crystals under in Meso Crystallization Conditions
  166. Capturing the Crystal: Prediction of Enthalpy of Sublimation, Crystal Lattice Energy, and Melting Points of Organic Compounds
  167. Autologous Neosphincters and Novel Technologies for Fecal continence
  168. Modeling Biological Activities of Nanoparticles
  169. Self-organizing circuitry and emergent computation in mouse embryonic stem cells
  170. Quantitative Structure–Property Relationship Modeling of Diverse Materials Properties
  171. Computational Approaches
  172. Robust, quantitative tools for modelling ex-vivo expansion of haematopoietic stem cells and progenitors
  173. Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces
  174. Unzipping the role of chirality in nanoscale self-assembly of tripeptide hydrogels
  175. Structure and Function of Ecdysone Receptors—Interactions with Ecdysteroids and Synthetic Agonists
  176. Modeling the molecular basis for α4β1 integrin antagonism
  177. Principal signalling complexes in haematopoiesis: Structural aspects and mimetic discovery
  178. Binding Inhibitors of the Bacterial Sliding Clamp by Design
  179. A General Model for Binary Cell Fate Decision Gene Circuits with Degeneracy: Indeterminacy and Switch Behavior in the Absence of Cooperativity
  180. Tripeptide Motifs in Biology: Targets for Peptidomimetic Design
  181. Modelling topoisomerase I inhibition by minor groove binders
  182. Synthesis, binding and bioactivity of γ-methylene γ-lactam ecdysone receptor ligands: Advantages of QSAR models for flexible receptors
  183. ChemInform Abstract: Application of DFT and EMS to the Study of Strained Organic Molecules
  184. Zinc Is Not Required for Activity of TPO Agonists Acting at the c-Mpl Receptor Transmembrane Domain
  185. ChemInform Abstract: New QSAR Methods Applied to Structure-Activity Mapping and Combinatorial Chemistry.
  186. Modelling Inhalational Anaesthetics Using Bayesian Feature Selection and QSAR Modelling Methods
  187. Robust modelling of solubility in supercritical carbon dioxide using Bayesian methods
  188. Modelling Atypical Small-Molecule Mimics of an Important Stem Cell Cytokine, Thrombopoietin
  189. Predictive Mesoscale Network Model of Cell Fate Decisions during C. elegans Embryogenesis
  190. An Optimal Self-Pruning Neural Network and Nonlinear Descriptor Selection in QSAR
  191. Conformational analysis of folates and folate analogues
  192. Design of transition-state analogues for gaba-transaminase
  193. Stem cell decision making and critical-like exploratory networks
  194. Optimal Sparse Descriptor Selection for QSAR Using Bayesian Methods
  195. Toward Novel Universal Descriptors: Charge Fingerprints
  196. A Carbon-13 NMR Study of Carbon Dioxide Absorption and Desorption with Aqueous Amine Solutions
  197. Consistent concepts of self-organization and self-assembly
  198. Toward a Rosetta stone for the stem cell genome: Stochastic gene expression, network architecture, and external influences
  199. Classification of emergence and its relation to self-organization
  200. Critical-like self-organization and natural selection: Two facets of a single evolutionary process?
  201. Bayesian Regularization of Neural Networks
  202. Network models in drug discovery and regenerative medicine
  203. Parasiticidal 2-alkoxy- and 2-aryloxyiminoalkyl trifluoromethanesulfonanilides
  204. A Methodology for Applying Energy Harvesting to Extend Wildlife Tag Lifetime
  205. Classification of Self-Organization and Emergence in Chemical and Biological Systems
  206. 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]
  207. Discovery of (Z)-2-phenyl-3-(1H-pyrrol-2-yl)acrylonitrile derivatives active against Haemonchus contortus and Ctenocephalides felis (cat flea)
  208. Nonlinear Predictive Modeling of MHC Class II-Peptide Binding Using Bayesian Neural Networks
  209. An experimental and theoretical study into the valence electronic structure of bicyclo[2.2.1]hepta-2,5-dione
  210. Orbital based electronic structural signatures of the guanine keto G-7H/G-9H tautomer pair as studied using dual space analysis
  211. Scaled vehicle tire characteristics: dimensionless analysis
  212. Simulation and Modelling of Chemical and Biological Complex Systems
  213. Classification of Self-Organization and Emergence in Chemical and Biological Systems
  214. Overview of Quantitative Structure-Activity Relationships (QSAR)
  215. Investigation into the Valence Electronic Structure of Norbornene Using Electron Momentum Spectroscopy, Green's Function, and Density Functional Theories
  216. Predictive Bayesian neural network models of MHC class II peptide binding
  217. The X-ray Structure of a Hemipteran Ecdysone Receptor Ligand-binding Domain
  218. Nitrile Oxide Cycloaddition Chemistry Using Benzotriazole as a Steric Auxiliary
  219. Predictive Human Intestinal Absorption QSAR Models Using Bayesian Regularized Neural Networks
  220. Structural impact on the methano bridge in norbornadiene, norbornene and norbornane
  221. Norbornane: An investigation into its valence electronic structure using electron momentum spectroscopy, and density functional and Green’s function theories
  222. Broad-Based Quantitative Structure−Activity Relationship Modeling of Potency and Selectivity of Farnesyltransferase Inhibitors Using a Bayesian Regularized Neural Network
  223. Rapid Prediction of Chemical Metabolism by Human UDP-glucuronosyltransferase Isoforms Using Quantum Chemical Descriptors Derived with the Electronegativity Equalization Method
  224. Modelling blood–brain barrier partitioning using Bayesian neural nets
  225. Foreword
  226. Highly Flexible Ligand Binding Pocket of Ecdysone Receptor
  227. Bayesian neural nets for modeling in drug discovery
  228. Comparison of Linear and Nonlinear Classification Algorithms for the Prediction of Drug and Chemical Metabolism by Human UDP-Glucuronosyltransferase Isoforms.
  229. Neural Networks as Robust Tools in Drug Lead Discovery and Development
  230. Synthesis, Biological Activity, and QSAR Studies of Antimicrobial Agents Containing Biguanide Isosteres
  231. Neural networks in ADME and toxicity prediction
  232. Exploring the electronic structure of 2,6-stelladione from momentum space I: the p-dominant molecular orbitals in the outer valence shell
  233. Comparison of Linear and Nonlinear Classification Algorithms for the Prediction of Drug and Chemical Metabolism by Human UDP-Glucuronosyltransferase Isoforms
  234. An electron momentum spectroscopy and density functional theory study of the outer valence electronic structure of stella-2,6-dione
  235. Foreword
  236. Comprehensive Experimental and Theoretical Study into the Complete Valence Electronic Structure of Norbornadiene
  237. Definitive confirmation for through-space bond dominance in the outermost π-orbitals of norbornadiene
  238. Influence of benign cellular changes in diagnosis of cervical cancer using IR microspectroscopy
  239. The role of quantitative structure - activity relationships (QSAR) in biomolecular discovery
  240. The broader applications of neural and genetic modelling methods
  241. High-resolution electron momentum spectroscopy of molecules
  242. Introduction and foreword to the special issue on computational drug design and informatics
  243. Structure-based design of inhibitors of the rice blast fungal enzyme trihydroxynaphthalene reductase
  244. Quantitative Structure−Activity Relationship Studies Using Gaussian Processes
  245. Core molecular orbital contribution to N2O isomerization as studied using theoretical electron momentum spectroscopy
  246. A high-resolution electron momentum spectroscopy and density functional theory study into the complete valence electronic structure of allene
  247. Use of Automatic Relevance Determination in QSAR Studies Using Bayesian Neural Networks
  248. Robust QSAR Models from Novel Descriptors and Bayesian Regularised Neural Networks
  249. A Quantitative Structure−Activity Relationships Model for the Acute Toxicity of Substituted Benzenes to Tetrahymena pyriformis Using Bayesian-Regularized Neural Networks
  250. A Density Functional Theory and Electron Momentum Spectroscopy Study into the Complete Valence Electronic Structure of Cubane
  251. The Computer Simulation of High Throughput Screening of Bioactive Molecules
  252. Robust QSAR Models Using Bayesian Regularized Neural Networks
  253. Electron momentum spectroscopy studies on atom and molecules using monochromated electrons
  254. 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.
  255. An electron momentum spectroscopy and density functional theory investigation into the complete valence electronic structure of ethylene oxide
  256. Synthesis of homorhamnojirimycins and related trihydroxypipecolic acid derivatives via divergent bicyclic amino lactone intermediates: Inhibition of naringinase (L-rhamnosidase) and dTDP-rhamnose biosynthesis
  257. 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
  258. Investigation of 5-HT4 agonist activities using molecular field analysis
  259. An investigation into FTIR spectroscopy as a biodiagnostic tool for cervical cancer
  260. New QSAR Methods Applied to Structure−Activity Mapping and Combinatorial Chemistry
  261. 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
  262. Potential intermediates for incorporation of polyhydroxylated prolines into combinatorial libraries
  263. Holographic QSAR of Benzodiazepines
  264. Momentum distributions and molecular property information for trans 1,3 butadiene: An electron momentum spectroscopy and density functional theory investigation
  265. Holographic Neural Networks as Nonlinear Discriminants for Chemical Applications
  266. Transformation of substituted 2H-pyran-5-carboxylates into 3R*-vinyl-1,2R*-cyclopropanedicarboxylates
  267. 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
  268. Atomistic Topological Indices Applied to Benzodiazepines using Various Regression Methods
  269. UNICHEM and Electron Momentum Spectroscopy Investigation into the Valence Electronic Structure of trans 1,3 Butadiene
  270. Application of DFT and EMS to the Study of Strained Organic Molecules
  271. Predicting maximum bioactivity by effective inversion of neural networks using genetic algorithms
  272. Theoretical and (e,2e) Experimental Investigation into the Complete Valence Electronic Structure of [1.1.1]Propellane
  273. Cross-validatory Selection of Test and Validation Sets in Multivariate Calibration and Neural Networks as Applied to Spectroscopy
  274. A Chemically Intuitive Molecular Index Based on the Eigenvalues of a Modified Adjacency Matrix
  275. Molecular Modeling Studies of “Flap Up” Mannosyl Cation Mimics
  276. The Synthesis of Bisguanidinoalkanes and Guanidinoalkanes, N- or N'-Substituted With Pyrimidines, as Analogues of Chlorhexidine
  277. Using Artificial Neural Networks to Predict Biological Activity from Simple Molecular Structural Considerations
  278. Electron momentum spectroscopy of [1.1.1]propellane
  279. “I2-Doping” of 1,4-polydienes
  280. Conducting Polymers from Polybutadiene: Molecular Configuration Effects on the Iodine-Induced Conjugation Reactions
  281. Mapping Analytic Functions Using Neural Networks
  282. 6-(2-Methylpropylthio)-2-pyridyl methanesulfonate
  283. 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
  284. Quantitative structure-activity studies of pyrethroids
  285. Transition-state analogues as inhibitors for GABA-aminotransferase
  286. Carbocation-Mediated Rearrangements Within [n.m.1]Propellane Frameworks
  287. Triatomic molecules: meeting places for experiment and theory
  288. Production of interstellar HCN and HNC
  289. Morpheus: a conformation-activity relationships and receptor modeling package
  290. Design of potential anti-HIV agents. 1. Mannosidase inhibitors
  291. Molecular identification number for substructure searches
  292. A molecular graphics study of factors influencing herbicidal activity of oximes of 3-acyl-tetrahydro-2H-pyran-2,4-diones
  293. Paleoecology and hypsilophodontid behavior at the Proctor Lake dinosaur locality (Early Cretaceous), Texas
  294. Targeted cytotoxic cells as a novel form of cancer immunotherapy
  295. Molecular orbital studies of reaction mechanism and transition state structures for GABA-transaminase
  296. The conformations of 1,1,2,2-tetracyanoethane and 1,2-dichlorotetracyanoethane: a molecular orbital, dipole moment and kerr effect study
  297. The non-Fickian diffusion of deterrents into a nitrocellulose-based propellant
  298. Quantitative Structure-Activity Relationships in Insecticidal Pyrethroid Ethers
  299. A variational description of the rotational and vibrational states of triatomic molecules using numerical wavefunctions
  300. Invalidation of Lowry protein estimations and macrophage 3H deoxyglucose uptake by plastic tubes and airflow
  301. A conformational study of the topographical requirements of a phytotropin recognition site on the naphthylphthalamic acid receptor
  302. Conformational energy calculations and electrostatic potentials of dihydrofolate reductase ligands: relevance to mode of binding and species specificity
  303. Molecular conformational studies of cellulose nitrate
  304. CNDO/2 Calculations for Organohalides
  305. Design, Synthesis and Testing of Transition State Analogues of Alanine Racemase as Antibacterials
  306. Structure-activity relations of convulsant and anticonvulsant barbiturates: a computer-graphic-based pattern-recognition analysis
  307. Origins of molecular structure. I. Three-body calculations on the ground states of systems from e2+e-to H2+using a hyperspherical basis
  308. Conformational analysis of picrotoxinin by N.M.R., X-ray crystallography, and molecular orbital and classical potential-energy calculations
  309. DO BARBITURATE RECEPTORS EXIST?
  310. Conformational analysis of the ergot alkaloids ergotamine and ergotaminine
  311. Hyperfine interactions in methanimine
  312. The microwave spectrum of HCN dimer
  313. Hyperfine interactions in the microwave spectrum of 2-propen-1-Imine (vinylimine)
  314. The microwave spectrum of (Z)-Ethanimine
  315. Detection of the 23-22 emission line of sulphur monoxide and its relevance to magnetic fields in Orion
  316. Detection of J = 2 -> 1 emission of acetonitrile (CH3CN) in Sgr B2
  317. Nuclear quadrupole coupling in the microwave spectrum of 1,2,3-triazole
  318. Quadrupole hyperfine structure of the microwave spectrum of 1,2,4-triazole and N-deuterotriazole
  319. Application of Neural Networks to Large Dataset QSAR, Virtual Screening, and Library Design
  320. Controlling clipping probability in DMT transmission