Literature DB >> 8667357

Comparative molecular moment analysis (CoMMA): 3D-QSAR without molecular superposition.

B D Silverman1, D E Platt.   

Abstract

3d-QSAR procedures utilize descriptors that characterize molecular shape and charge distributions responsible for the steric and electrostatic nonbonding interactions intimately involved in ligand-receptor binding. Comparative molecular moment analysis (CoMMA) utilizes moments of the molecular mass and charge distributions up to and including second order in the development of molecular similarity descriptors. As a consequence, two Cartesian reference frames are then defined with respect to each molecular structure. One frame is the principal inertial axes calculated with respect to the center-of-mass. For neutrally charged molecular species, the other reference frame is the principal quadrupolar axes calculated with respect to the molecular "center-of-dipole." QSAR descriptors include quantities that characterize shape and charge independently as well as quantities that characterize their relationship. 3D-QSAR partial least squares (PLS) cross-validation procedures are utilized to predict the activity of several training sets of molecules previously investigated. This is the first time that molecular electrostatic quadrupolar moments have been utilized in a 3D-QSAR analysis, and it is shown that descriptors involving the quadrupolar moments and related quantities are required for the significant cross-validated predictive r2's obtained. CoMMA requires no superposition step, i.e., no step requiring a comparison between two molecules at any stage of the 3D-QSAR calculation.

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Year:  1996        PMID: 8667357     DOI: 10.1021/jm950589q

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  24 in total

1.  Hydrophobic moments of protein structures: spatially profiling the distribution.

Authors:  B D Silverman
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-17       Impact factor: 11.205

2.  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

3.  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

4.  A comparative study of ligand-receptor complex binding affinity prediction methods based on glycogen phosphorylase inhibitors.

Authors:  S S So; M Karplus
Journal:  J Comput Aided Mol Des       Date:  1999-05       Impact factor: 3.686

5.  Refinement of Catalyst hypotheses using simplex optimisation.

Authors:  U Norinder
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

6.  FLASHFLOOD: a 3D field-based similarity search and alignment method for flexible molecules.

Authors:  M C Pitman; W K Huber; H Horn; A Krämer; J E Rice; W C Swope
Journal:  J Comput Aided Mol Des       Date:  2001-07       Impact factor: 3.686

7.  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

8.  The web server of IBM's Bioinformatics and Pattern Discovery group.

Authors:  Tien Huynh; Isidore Rigoutsos; Laxmi Parida; Daniel Platt; Tetsuo Shibuya
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

9.  The web server of IBM's Bioinformatics and Pattern Discovery group: 2004 update.

Authors:  Tien Huynh; Isidore Rigoutsos
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

10.  Theoretical study on modeling and prediction of optical rotation for biodegradable polymers containing α-amino acids using QSAR approaches.

Authors:  Shadpour Mallakpour; Mehdi Hatami; Hassan Golmohammadi
Journal:  J Mol Model       Date:  2011-07       Impact factor: 1.810

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