Literature DB >> 17181148

A comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) of anthranilamide derivatives that are multidrug resistance modulators.

Philippe Labrie1, Shawn P Maddaford, Sebastien Fortin, Suman Rakhit, Lakshmi P Kotra, René C Gaudreault.   

Abstract

In a continuing effort to develop potent and selective modulators of P-glycoprotein (P-gp) activity overcoming the chemoresistance acquired by tumor cells during cancer chemotherapy, we developed 3D quantitative structure-activity relationship (3D QSAR) models using CoMFA and CoMSIA analyses. This study correlates the P-glycoprotein inhibitory activities of 49 structurally related anthranilamide derivatives to several physicochemical parameters representing steric, electrostatic, acceptor, donor, and hydrophobic fields. Both CoMFA and CoMSIA models using three different alignment conformations gave good internal predictions, and their cross-validated r2 values are between 0.503 and 0.644. These most comprehensive CoMFA and CoMSIA models are useful in understanding the structure-activity relationships of anthranilamide derivatives as well as aid in the design of novel derivatives with enhanced modulation of P-gp activity.

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Year:  2006        PMID: 17181148     DOI: 10.1021/jm060239b

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


  7 in total

Review 1.  Structure-activity relationships of tariquidar analogs as multidrug resistance modulators.

Authors:  Ilza K Pajeva; Michael Wiese
Journal:  AAPS J       Date:  2009-06-06       Impact factor: 4.009

2.  A novel approach for predicting P-glycoprotein (ABCB1) inhibition using molecular interaction fields.

Authors:  Fabio Broccatelli; Emanuele Carosati; Annalisa Neri; Maria Frosini; Laura Goracci; Tudor I Oprea; Gabriele Cruciani
Journal:  J Med Chem       Date:  2011-02-22       Impact factor: 7.446

3.  Cryo-EM structures reveal distinct mechanisms of inhibition of the human multidrug transporter ABCB1.

Authors:  Kamil Nosol; Ksenija Romane; Rossitza N Irobalieva; Amer Alam; Julia Kowal; Naoya Fujita; Kaspar P Locher
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-05       Impact factor: 11.205

Review 4.  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

5.  Pharmacophore mapping of a series of pyrrolopyrimidines, indolopyrimidines and their congeners as multidrug-resistance-associated protein (MRP1) modulators.

Authors:  Nilesh R Tawari; Seema Bag; Mariam S Degani
Journal:  J Mol Model       Date:  2008-07-11       Impact factor: 1.810

6.  Prediction of promiscuous p-glycoprotein inhibition using a novel machine learning scheme.

Authors:  Max K Leong; Hong-Bin Chen; Yu-Hsuan Shih
Journal:  PLoS One       Date:  2012-03-16       Impact factor: 3.240

7.  Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) of thiazolone derivatives as hepatitis C virus NS5B polymerase allosteric inhibitors.

Authors:  Beilei Lei; Juan Du; Shuyan Li; Huanxiang Liu; Yueying Ren; Xiaojun Yao
Journal:  J Comput Aided Mol Des       Date:  2008-08-21       Impact factor: 3.686

  7 in total

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