Literature DB >> 9334906

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

D B Turner1, P Willett, A M Ferguson, T Heritage.   

Abstract

A novel molecular descriptor (EVA) based upon calculated infrared range vibrational frequencies is evaluated for use in QSAR studies. The descriptor is invariant to both translation and rotation of the structures concerned. The method was applied to 11 QSAR datasets exhibiting both a range of biological endpoints and various degrees of structural diversity. This study demonstrates that robust QSAR models can be obtained using the EVA descriptor and examines the effect of EVA parameter changes on these models; recommendations are made as to the appropriate choice of parameters. The performance of EVA was found to be comparable in statistical terms to that of CoMFA, despite the fact that EVA does not require the generation of a structural alignment. Models derived using semiempirical (MOPAC AM1 and PM3) and AMBER mechanics calculated normal mode frequencies are compared, with the overall conclusion that the semiempirical methods perform equally well and both outperform the AMBER-based models.

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Year:  1997        PMID: 9334906     DOI: 10.1023/a:1007988708826

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


  23 in total

1.  Quantum-Chemical Descriptors in QSAR/QSPR Studies.

Authors:  Mati Karelson; Victor S. Lobanov; Alan R. Katritzky
Journal:  Chem Rev       Date:  1996-05-09       Impact factor: 60.622

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.  A new procedure for improving the predictiveness of CoMFA models and its application to a set of dihydrofolate reductase inhibitors.

Authors:  R T Kroemer; P Hecht
Journal:  J Comput Aided Mol Des       Date:  1995-10       Impact factor: 3.686

5.  Use of the hydrogen bond potential function in a comparative molecular field analysis (CoMFA) on a set of benzodiazepines.

Authors:  K H Kim; G Greco; E Novellino; C Silipo; A Vittoria
Journal:  J Comput Aided Mol Des       Date:  1993-06       Impact factor: 3.686

6.  Compass: predicting biological activities from molecular surface properties. Performance comparisons on a steroid benchmark.

Authors:  A N Jain; K Koile; D Chapman
Journal:  J Med Chem       Date:  1994-07-22       Impact factor: 7.446

7.  PRO_LIGAND: an approach to de novo molecular design. 2. Design of novel molecules from molecular field analysis (MFA) models and pharmacophores.

Authors:  B Waszkowycz; D E Clark; D Frenkel; J Li; C W Murray; B Robson; D R Westhead
Journal:  J Med Chem       Date:  1994-11-11       Impact factor: 7.446

8.  Molecular similarity indices in a comparative analysis (CoMSIA) of drug molecules to correlate and predict their biological activity.

Authors:  G Klebe; U Abraham; T Mietzner
Journal:  J Med Chem       Date:  1994-11-25       Impact factor: 7.446

9.  Predictive binding of beta-carboline inverse agonists and antagonists via the CoMFA/GOLPE approach.

Authors:  M S Allen; A J LaLoggia; L J Dorn; M J Martin; G Costantino; T J Hagen; K F Koehler; P Skolnick; J M Cook
Journal:  J Med Chem       Date:  1992-10-30       Impact factor: 7.446

10.  Synthesis, ligand binding, QSAR, and CoMFA study of 3 beta-(p-substituted phenyl)tropane-2 beta-carboxylic acid methyl esters.

Authors:  F I Carroll; Y G Gao; M A Rahman; P Abraham; K Parham; A H Lewin; J W Boja; M J Kuhar
Journal:  J Med Chem       Date:  1991-09       Impact factor: 7.446

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  6 in total

1.  Evaluation of the EVA descriptor for QSAR studies: 3. The use of a genetic algorithm to search for models with enhanced predictive properties (EVA_GA).

Authors:  D B Turner; P Willett
Journal:  J Comput Aided Mol Des       Date:  2000-01       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.  3D-QSAR illusions.

Authors:  Arthur M Doweyko
Journal:  J Comput Aided Mol Des       Date:  2004 Jul-Sep       Impact factor: 3.686

4.  Ligand intramolecular motions in ligand-protein interaction: ALPHA, a novel dynamic descriptor and a QSAR study with extended steroid benchmark dataset.

Authors:  Kari Tuppurainen; Marja Viisas; Mikael Peräkylä; Reino Laatikainen
Journal:  J Comput Aided Mol Des       Date:  2004-03       Impact factor: 3.686

5.  Combining NMR spectral and structural data to form models of polychlorinated dibenzodioxins, dibenzofurans, and biphenyls binding to the AhR.

Authors:  Richard D Beger; Dan A Buzatu; Jon G Wilkes
Journal:  J Comput Aided Mol Des       Date:  2002-10       Impact factor: 3.686

6.  Molecular vibration-activity relationship in the agonism of adenosine receptors.

Authors:  Hyun Keun Chee; S June Oh
Journal:  Genomics Inform       Date:  2013-12-31
  6 in total

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