Literature DB >> 19239274

Partial charge calculation method affects CoMFA QSAR prediction accuracy.

Ruchi R Mittal1, Lisa Harris, Ross A McKinnon, Michael J Sorich.   

Abstract

The 3D-QSAR method comparative molecular field analysis (CoMFA) involves the estimation of atomic partial charges as part of the process of calculating molecular electrostatic fields. Using 30 data sets from the literature the effect of using different common partial charge calculation methods on the predictivity (cross-validated R2) of CoMFA was studied. The partial charge methods ranged from the popular Gasteiger and the newer MMFF94 electronegativity equalization methods, to the more complex and computationally expensive semiempirical charges AM1, MNDO, and PM3. The MMFF94 and semiempirical MNDO, AM1, and PM3 methods for computing charges were found to result in statistically significantly more predictive CoMFA models than the Gasteiger charges. Although there was a trend toward the semiempirical charges performing better than the MMFF94 charges, the difference was not statistically significant. Thus, semiempirical partial charge calculation methods are suggested for the most predictive CoMFA models, but the MMFF94 charge calculation method is a very good alternative if semiempirical methods are not available or faster calculation speed is important.

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Year:  2009        PMID: 19239274     DOI: 10.1021/ci800390m

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  16 in total

1.  Fragment-guided approach to incorporating structural information into a CoMFA study: BACE-1 as an example.

Authors:  Lívia Barros Salum; Napoleão Fonseca Valadares
Journal:  J Comput Aided Mol Des       Date:  2010-07-27       Impact factor: 3.686

2.  Challenging the gold standard for 3D-QSAR: template CoMFA versus X-ray alignment.

Authors:  Bernd Wendt; Richard D Cramer
Journal:  J Comput Aided Mol Des       Date:  2014-06-17       Impact factor: 3.686

3.  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

4.  Targeted catalytic inactivation of angiotensin converting enzyme by lisinopril-coupled transition-metal chelates.

Authors:  Jeff C Joyner; Lalintip Hocharoen; J A Cowan
Journal:  J Am Chem Soc       Date:  2012-02-10       Impact factor: 15.419

5.  www.3d-qsar.com: a web portal that brings 3-D QSAR to all electronic devices-the Py-CoMFA web application as tool to build models from pre-aligned datasets.

Authors:  Rino Ragno
Journal:  J Comput Aided Mol Des       Date:  2019-10-08       Impact factor: 3.686

6.  Interpretable correlation descriptors for quantitative structure-activity relationships.

Authors:  Benson M Spowage; Craig L Bruce; Jonathan D Hirst
Journal:  J Cheminform       Date:  2009-12-24       Impact factor: 5.514

7.  Three-dimensional QSAR analysis and design of new 1,2,4-oxadiazole antibacterials.

Authors:  Erika Leemans; Kiran V Mahasenan; Malika Kumarasiri; Edward Spink; Derong Ding; Peter I O'Daniel; Marc A Boudreau; Elena Lastochkin; Sebastian A Testero; Takao Yamaguchi; Mijoon Lee; Dusan Hesek; Jed F Fisher; Mayland Chang; Shahriar Mobashery
Journal:  Bioorg Med Chem Lett       Date:  2015-12-12       Impact factor: 2.823

8.  Design, synthesis and evaluation of analogs of initiation factor 4E (eIF4E) cap-binding antagonist Bn7-GMP.

Authors:  Yan Jia; Ting-Lan Chiu; Elizabeth A Amin; Vitaly Polunovsky; Peter B Bitterman; Carston R Wagner
Journal:  Eur J Med Chem       Date:  2009-12-06       Impact factor: 6.514

9.  Binding interactions of porphyrin derivatives with Ca(2+) ATPase of sarcoplasmic reticulum (SERCA1a).

Authors:  Abdul Hai; Nadeem A Kizilbash; Syeda Huma H Zaidi; Jamal Alruwaili
Journal:  Bioinformation       Date:  2013-04-30

10.  Combined 3D-QSAR modeling and molecular docking study on multi-acting quinazoline derivatives as HER2 kinase inhibitors.

Authors:  Sako Mirzaie; Majid Monajjemi; Mohammad Saeed Hakhamaneshi; Fardin Fathi; Mostafa Jamalan
Journal:  EXCLI J       Date:  2013-02-22       Impact factor: 4.068

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