All Stories

  1. Substituted naphthalene reaction rates with peroxy-acid treatment: prediction of reactivity using PEST
  2. Development of a Web-Enabled SVR-Based Machine Learning Platform and its Application on Modeling Transgene Expression Activity of Aminoglycoside-Derived Polycations
  3. Discovery of antibiotics-derived polymers for gene delivery using combinatorial synthesis and cheminformatics modeling
  4. Computational strategies for polymer dielectrics design
  5. DR-Predictor: Incorporating Flexible Docking with Specialized Electronic Reactivity and Machine Learning Techniques to Predict CYP-Mediated Sites of Metabolism
  6. Stalking the Materials Genome: A Data-Driven Approach to the Virtual Design of Nanostructured Polymers
  7. New Group IV Chemical Motifs for Improved Dielectric Permittivity of Polyethylene
  8. From Drug Discovery QSAR to Predictive Materials QSPR
  9. RS-WebPredictor: a server for predicting CYP-mediated sites of metabolism on drug-like molecules
  10. Odor-Structure Relationship Studies of Tetralin and Indan Musks
  11. MQSPR modeling in materials informatics: a way to shorten design cycles?
  12. RS-Predictor Models Augmented with SMARTCyp Reactivities: Robust Metabolic Regioselectivity Predictions for Nine CYP Isozymes
  13. Fast Bundle Algorithm for Multiple-Instance Learning
  14. Developing Best Practices for Descriptor-Based Property Prediction: Appropriate Matching of Datasets, Descriptors, Methods, and Expectations
  15. Development of Materials Informatics Tools and Infrastructure to Enable High Throughput Materials Design
  16. Exploiting Domain Knowledge for Improved Quantitative High-Throughput Screening Curve Fitting
  17. Molecular Descriptors for Biological Systems
  18. Modeling Choices for Virtual Screening Hit Identification
  19. RS-Predictor: A New Tool for Predicting Sites of Cytochrome P450-Mediated Metabolism Applied to CYP 3A4
  20. Study of the Effect of Interface Enthalpy on Nanocomposite Viscoelasticity
  21. ChemInform Abstract: Substituent Effects. Part 1. Methyl Derivatives
  22. SMARTCyp: A 2D Method for Prediction of Cytochrome P450-Mediated Drug Metabolism
  23. PESDserv: a server for high-throughput comparison of protein binding site surfaces
  24. Binding Affinity Prediction with Property-Encoded Shape Distribution Signatures
  25. Rapid Comparison of Protein Binding Site Surfaces with Property Encoded Shape Distributions
  26. Evaluation of Chemically Selective Displacer Analogues for Protein Purification
  27. A novel method for predicting ligand regioselectivity to metabolism by the CYP3A4 enzyme
  28. Multiple instance ranking
  29. Prediction of pH-Dependent Chromatographic Behavior in Ion-Exchange Systems
  30. Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR)
  31. Novel Applications of Kernel–Partial Least Squares to Modeling a Comprehensive Array of Properties for Drug Discovery
  32. Chemometric Analysis of Ligand Receptor Complementarity:  Identifying Complementary Ligands Based on Receptor Information (CoLiBRI)
  33. Wavelets in Chemistry and Cheminformatics
  34. Investigation of DNA-Binding Properties of an Aminoglycoside-Polyamine Library Using Quantitative Structure−Activity Relationship (QSAR) Models
  35. Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression
  36. Analysis of Odor Structure Relationships Using Electronic Van Der Waals Surface Property Descriptors and Genetic Algorithms
  37. A priori prediction of adsorption isotherm parameters and chromatographic behavior in ion-exchange systems
  38. Predicting Protein-Ligand Binding Affinities Using Novel Geometrical Descriptors and Machine-Learning Methods.
  39. Parallel screening of selective and high-affinity displacers for proteins in ion-exchange systems
  40. Electronic van der Waals Surface Property Descriptors and Genetic Algorithms for Developing Structure—Activity Correlations in Olfactory Databases.
  41. Predicting Protein−Ligand Binding Affinities Using Novel Geometrical Descriptors and Machine-Learning Methods
  42. Three-dimensional quantitative structure–activity relationship analyses of piperidine-based CCR5 receptor antagonists
  43. Genetic Algorithms for Classification of Olfactory Stimulants
  44. Electronic van der Waals Surface Property Descriptors and Genetic Algorithms for Developing Structure−Activity Correlations in Olfactory Databases
  45. Investigation of Mobile Phase Salt Type Effects on Protein Retention and Selectivity in Cation-Exchange Systems Using Quantitative Structure Retention Relationship Models
  46. A mass spectrometry study of tirapazamine and its metabolites: Insights into the mechanism of metabolic transformations and the characterization of reaction intermediates
  47. Prediction of the Effect of Mobile-Phase Salt Type on Protein Retention and Selectivity in Anion Exchange Systems
  48. Transferable atom equivalent multicentered multipole expansion method
  49. Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression.
  50. Feature Selection Methods Based on Genetic Algorithms for in Silico Drug Design
  51. Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression
  52. High-throughput screening and quantitative structure-efficacy relationship models of potential displacer molecules for ion-exchange systems
  53. Predictive quantitative structure retention relationship models for ion-exchange chromatography
  54. Prediction of Protein Retention in Ion-Exchange Systems Using Molecular Descriptors Obtained from Crystal Structure
  55. Data strip mining for the virtual design of pharmaceuticals with neural networks
  56. Regioselectivity of the Photochemical Addition of Ammonia, Phosphine, and Silane to Olefinic and Acetylenic Nitriles
  57. Regioselectivity of the Photochemical Addition of Ammonia, Phosphine, and Silane to Olefinic and Acetylenic Nitriles
  58. Comment on “The hyperpolarizability of trans-butadiene: A critical test case for quantum chemical models” [J. Chem. Phys. 106, 1827 (1997)]
  59. Internal rotation in enaminonitriles: Investigation by dynamic NMR spectroscopy and molecular modeling
  60. The rotational barrier of an enaminonitrile. Charge and energy redistribution during rotation about the C-N bond
  61. QSPR analysis of HPLC column capacity factors for a set of high-energy materials using electronic van der waals surface property descriptors computed by transferable atom equivalent method
  62. Electron density modeling of large systems using the transferable atom equivalent method
  63. Modeling the Hydrogen Bond with Transferable Atom Equivalents
  64. Resonance interactions in acyclic systems. 3. Formamide internal rotation revisited. Charge and energy redistribution along the C-N bond rotational pathway
  65. Analysis of the effect of electron correlation on charge density distributions
  66. The Response of Electrons to Structural Changes
  67. Substituent effects. 1. Methyl derivatives
  68. Origin of rotation and inversion barriers
  69. Determining atom-centered monopoles from molecular electrostatic potentials. The need for high sampling density in formamide conformational analysis
  70. Resonance interactions in acyclic systems. 1. Energies and charge distributions in allyl anions and related compounds
  71. Azines. A theoretical study of .pi.-electron delocalization
  72. Resonance interactions in acyclic systems
  73. Further insight into lower order cuprate chemistry; On the use of CuBr·Me2S CuI to R2CuLi
  74. Chemical and spectroscopic studies on copper iodide derived organocuprates: new insight into the composition of Gilman's reagent
  75. Ligand mixing in lower order organocuprates: synthetic, mechanistic, and structural implications
  76. QTAIM in Drug Discovery and Protein Modeling
  77. Bagging neural network sensitivity analysis for feature reduction for in-silico drug design
  78. Strip mining for molecules
  79. A soft computing approach for the design of novel pharmaceuticals
  80. Feature selection for in-silico drug design using genetic algorithms and neural networks