Literature DB >> 9007685

E-state fields: applications to 3D QSAR.

G E Kellogg1, L B Kier, P Gaillard, L H Hall.   

Abstract

The derivation of a new 3D QSAR field based on the electrotopological state (E-state) formalism is described. A complementary index and its associated field, the HE-state, describing the polarity of hydrogens is also defined. These new fields are constructed from a nonempirical index that incorporates electronegativity, the inductive influence of neighboring atoms, and the topological state into a single atomistic descriptor. The classic CoMFA steroid test data set was examined with models incorporating the E-state and HE-state fields alone and in combination with steric, electrostatic and hydropathic fields. The single best model was the E-state/HE-state combination with q2 = 0.803 (three components) and r2 = 0.979. Using the E-state and/or HE-state fields with other fields consistently produced models with improved statistics, where the E-state fields provided a significant, if not dominant, contribution.

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Year:  1996        PMID: 9007685     DOI: 10.1007/bf00134175

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  5 in total

1.  An electrotopological-state index for atoms in molecules.

Authors:  L B Kier; L H Hall
Journal:  Pharm Res       Date:  1990-08       Impact factor: 4.200

2.  Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.

Authors:  R D Cramer; D E Patterson; J D Bunce
Journal:  J Am Chem Soc       Date:  1988-08-01       Impact factor: 15.419

3.  HINT: a new method of empirical hydrophobic field calculation for CoMFA.

Authors:  G E Kellogg; S F Semus; D J Abraham
Journal:  J Comput Aided Mol Des       Date:  1991-12       Impact factor: 3.686

4.  Derivation and significance of valence molecular connectivity.

Authors:  L B Kier; L H Hall
Journal:  J Pharm Sci       Date:  1981-06       Impact factor: 3.534

5.  A quantitative structure-activity relationship (QSAR) study of alkylpyrazine odor modalities.

Authors:  A Tsantili-Kakoulidou; L B Kier
Journal:  Pharm Res       Date:  1992-10       Impact factor: 4.200

  5 in total
  18 in total

1.  Global 3D-QSAR methods: MS-WHIM and autocorrelation.

Authors:  E Gancia; G Bravi; P Mascagni; A Zaliani
Journal:  J Comput Aided Mol Des       Date:  2000-03       Impact factor: 3.686

2.  Evaluation of a novel molecular vibration-based descriptor (EVA) for QSAR studies: 2. Model validation using a benchmark steroid dataset.

Authors:  D B Turner; P Willett; A M Ferguson; T W Heritage
Journal:  J Comput Aided Mol Des       Date:  1999-05       Impact factor: 3.686

3.  Predictive QSAR modeling based on diversity sampling of experimental datasets for the training and test set selection.

Authors:  Alexander Golbraikh; Alexander Tropsha
Journal:  J Comput Aided Mol Des       Date:  2002 May-Jun       Impact factor: 3.686

4.  Predictive QSAR modeling based on diversity sampling of experimental datasets for the training and test set selection.

Authors:  Alexander Golbraikh; Alexander Tropsha
Journal:  Mol Divers       Date:  2002       Impact factor: 2.943

5.  Development of quantitative structure-binding affinity relationship models based on novel geometrical chemical descriptors of the protein-ligand interfaces.

Authors:  Shuxing Zhang; Alexander Golbraikh; Alexander Tropsha
Journal:  J Med Chem       Date:  2006-05-04       Impact factor: 7.446

6.  The continuous molecular fields approach to building 3D-QSAR models.

Authors:  Igor I Baskin; Nelly I Zhokhova
Journal:  J Comput Aided Mol Des       Date:  2013-05-30       Impact factor: 3.686

7.  QSAR modeling of the blood-brain barrier permeability for diverse organic compounds.

Authors:  Liying Zhang; Hao Zhu; Tudor I Oprea; Alexander Golbraikh; Alexander Tropsha
Journal:  Pharm Res       Date:  2008-06-14       Impact factor: 4.200

8.  Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory uses.

Authors:  Natalja Fjodorova; Marjan Vračko; Marjan Tušar; Aneta Jezierska; Marjana Novič; Ralph Kühne; Gerrit Schüürmann
Journal:  Mol Divers       Date:  2009-08-15       Impact factor: 2.943

9.  QSAR modeling with the electrotopological state indices: corticosteroids.

Authors:  C de Gregorio; L B Kier; L H Hall
Journal:  J Comput Aided Mol Des       Date:  1998-11       Impact factor: 3.686

10.  Designing sedative/hypnotic compounds from a novel substructural graph-theoretical approach.

Authors:  E Estrada; A Peña; R García-Domenech
Journal:  J Comput Aided Mol Des       Date:  1998-11       Impact factor: 3.686

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