Literature DB >> 7561973

Replacement of steric 6-12 potential-derived interaction energies by atom-based indicator variables in CoMFA leads to models of higher consistency.

R T Kroemer1, P Hecht.   

Abstract

The steric descriptors commonly used in CoMFA--Lennard-Jones 6-12 potential-derived interaction energies calculated between a probe atom and the molecules under investigation--have been replaced by variables indicating the presence of an atom of a particular molecule in predefined volume elements (cubes) within the region enclosing the ensemble of superimposed molecules. The resulting 'atom indicator vectors' were used as steric fields in the subsequent PLS analyses, with and without inclusion of electrostatic Coulomb interaction-derived fields. Application of this method to five training sets (80 compounds each) and five test sets (60 compounds each), randomly selected from an ensemble of 256 dihydrofolate reductase inhibitors, leads to models of significantly higher consistency, as indicated by the cross-validated r2 values for the training sets and the predictive r2 values for the test sets.

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Year:  1995        PMID: 7561973     DOI: 10.1007/BF00124452

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


  14 in total

1.  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

2.  Comparative molecular field analysis of CCK-A antagonists using field-fit as an alignment technique. A convenient guide to design new CCK-A ligands.

Authors:  S Rault; R Bureau; J C Pilo; M Robba
Journal:  J Comput Aided Mol Des       Date:  1992-12       Impact factor: 3.686

Review 3.  Multivariate data analysis and experimental design in biomedical research.

Authors:  L Ståhle; S Wold
Journal:  Prog Med Chem       Date:  1988

4.  The hypothetical active site lattice. An approach to modelling active sites from data on inhibitor molecules.

Authors:  A M Doweyko
Journal:  J Med Chem       Date:  1988-07       Impact factor: 7.446

5.  CoMFA validation of the superposition of six classes of compounds which block GABA receptors non-competitively.

Authors:  J A Calder; J A Wyatt; D A Frenkel; J E Casida
Journal:  J Comput Aided Mol Des       Date:  1993-02       Impact factor: 3.686

6.  Three-dimensional quantitative structure-activity relationship of angiotesin-converting enzyme and thermolysin inhibitors. II. A comparison of CoMFA models incorporating molecular orbital fields and desolvation free energies based on active-analog and complementary-receptor-field alignment rules.

Authors:  C L Waller; G R Marshall
Journal:  J Med Chem       Date:  1993-08-06       Impact factor: 7.446

7.  Direct prediction of dissociation constants (pKa's) of clonidine-like imidazolines, 2-substituted imidazoles, and 1-methyl-2-substituted-imidazoles from 3D structures using a comparative molecular field analysis (CoMFA) approach.

Authors:  K H Kim; Y C Martin
Journal:  J Med Chem       Date:  1991-07       Impact factor: 7.446

8.  Structure-activity relationships of the antimalarial agent artemisinin. 1. Synthesis and comparative molecular field analysis of C-9 analogs of artemisinin and 10-deoxoartemisinin.

Authors:  M A Avery; F Gao; W K Chong; S Mehrotra; W K Milhous
Journal:  J Med Chem       Date:  1993-12-24       Impact factor: 7.446

9.  Three-dimensional QSAR of human immunodeficiency virus (I) protease inhibitors. 1. A CoMFA study employing experimentally-determined alignment rules.

Authors:  C L Waller; T I Oprea; A Giolitti; G R Marshall
Journal:  J Med Chem       Date:  1993-12-24       Impact factor: 7.446

10.  On the prediction of binding properties of drug molecules by comparative molecular field analysis.

Authors:  G Klebe; U Abraham
Journal:  J Med Chem       Date:  1993-01-08       Impact factor: 7.446

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  8 in total

1.  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

2.  An extensive ecdysteroid CoMFA.

Authors:  L Dinan; R E Hormann; T Fujimoto
Journal:  J Comput Aided Mol Des       Date:  1999-03       Impact factor: 3.686

3.  Effect of steric molecular field settings on CoMFA predictivity.

Authors:  Ruchi R Mittal; Ross A McKinnon; Michael J Sorich
Journal:  J Mol Model       Date:  2007-11-24       Impact factor: 1.810

4.  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

5.  Evaluation of a novel infrared range vibration-based descriptor (EVA) for QSAR studies. 1. General application.

Authors:  D B Turner; P Willett; A M Ferguson; T Heritage
Journal:  J Comput Aided Mol Des       Date:  1997-07       Impact factor: 3.686

6.  A systematic investigation of quaternary ammonium ions as asymmetric phase-transfer catalysts. Application of quantitative structure activity/selectivity relationships.

Authors:  Scott E Denmark; Nathan D Gould; Larry M Wolf
Journal:  J Org Chem       Date:  2011-05-06       Impact factor: 4.354

7.  Continuous indicator fields: a novel universal type of molecular fields.

Authors:  Gleb V Sitnikov; Nelly I Zhokhova; Yury A Ustynyuk; Alexandre Varnek; Igor I Baskin
Journal:  J Comput Aided Mol Des       Date:  2014-12-02       Impact factor: 3.686

8.  A ligand-based approach to identify quantitative structure-activity relationships for the androgen receptor.

Authors:  Casey E Bohl; Cheng Chang; Michael L Mohler; Jiyun Chen; Duane D Miller; Peter W Swaan; James T Dalton
Journal:  J Med Chem       Date:  2004-07-15       Impact factor: 7.446

  8 in total

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