Literature DB >> 9139115

MS-WHIM, new 3D theoretical descriptors derived from molecular surface properties: a comparative 3D QSAR study in a series of steroids.

G Bravi1, E Gancia, P Mascagni, M Pegna, R Todeschini, A Zaliani.   

Abstract

The recently proposed WHIM (Weighted Holistic Invariant Molecular) approach [Todeschini, R., Lasagni, M. and Marengo, E., J. Chemometrics, 8 (1994) 263] has been applied to molecular surfaces to derive new 3D theoretical descriptors, called MS-WHIM. To test their reliability, a 3D QSAR study has been performed on a series of steroids, comparing the MS-WHIM description to both the original WHIM indices and CoMFA fields. The analysis of the statistical models obtained shows that MS-WHIM descriptors provide meaningful quantitative structure-activity correlations. Thus, the results obtained agree well with those achieved using CoMFA fields. The concise number of indices, the ease of their calculation and their invariance to the coordinate system make MS-WHIM an attractive tool for 3D QSAR studies.

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Year:  1997        PMID: 9139115     DOI: 10.1023/a:1008079512289

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


  8 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.  Different approaches toward an automatic structural alignment of drug molecules: applications to sterol mimics, thrombin and thermolysin inhibitors.

Authors:  G Klebe; T Mietzner; F Weber
Journal:  J Comput Aided Mol Des       Date:  1994-12       Impact factor: 3.686

3.  QSAR's from similarity matrices. Technique validation and application in the comparison of different similarity evaluation methods.

Authors:  A C Good; S J Peterson; W G Richards
Journal:  J Med Chem       Date:  1993-10-01       Impact factor: 7.446

4.  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

5.  Analysis of linear and nonlinear QSAR data using neural networks.

Authors:  D T Manallack; D D Ellis; D J Livingstone
Journal:  J Med Chem       Date:  1994-10-28       Impact factor: 7.446

6.  Electrostatic potential molecular surfaces.

Authors:  P K Weiner; R Langridge; J M Blaney; R Schaefer; P A Kollman
Journal:  Proc Natl Acad Sci U S A       Date:  1982-06       Impact factor: 11.205

7.  Transport of steroid hormones: binding of 21 endogenous steroids to both testosterone-binding globulin and corticosteroid-binding globulin in human plasma.

Authors:  J F Dunn; B C Nisula; D Rodbard
Journal:  J Clin Endocrinol Metab       Date:  1981-07       Impact factor: 5.958

8.  Structure-activity relationships from molecular similarity matrices.

Authors:  A C Good; S S So; W G Richards
Journal:  J Med Chem       Date:  1993-02-19       Impact factor: 7.446

  8 in total
  12 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.  Substructure and whole molecule approaches for calculating log P.

Authors:  R Mannhold; H van de Waterbeemd
Journal:  J Comput Aided Mol Des       Date:  2001-04       Impact factor: 3.686

4.  Internally defined distances in 3D-quantitative structure-activity relationships.

Authors:  Christian Th Klein; Norbert Kaiblinger; Peter Wolschann
Journal:  J Comput Aided Mol Des       Date:  2002-02       Impact factor: 3.686

Review 5.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

6.  Use of electron-electron repulsion energy as a molecular descriptor in QSAR and QSPR studies.

Authors:  X Gironés; L Amat; D Robert; R Carbó-Dorca
Journal:  J Comput Aided Mol Des       Date:  2000-07       Impact factor: 3.686

7.  Meta-heuristics on quantitative structure-activity relationships: study on polychlorinated biphenyls.

Authors:  Lorentz Jäntschi; Sorana D Bolboacă; Radu E Sestraş
Journal:  J Mol Model       Date:  2009-07-17       Impact factor: 1.810

Review 8.  Recent advances in fragment-based QSAR and multi-dimensional QSAR methods.

Authors:  Kyaw Zeyar Myint; Xiang-Qun Xie
Journal:  Int J Mol Sci       Date:  2010-10-08       Impact factor: 5.923

9.  Modeling the excitation wavelengths (lambda(ex)) of boronic acids.

Authors:  Minyong Li; Nanting Ni; Binghe Wang; Yanqing Zhang
Journal:  J Mol Model       Date:  2008-03-20       Impact factor: 1.810

10.  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

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