Literature DB >> 12477351

Pharmacophore model of drugs involved in P-glycoprotein multidrug resistance: explanation of structural variety (hypothesis).

Ilza K Pajeva1, Michael Wiese.   

Abstract

A general pharmacophore model of P-glycoprotein (P-gp) drugs is proposed that is based on a highly diverse data set and relates to the verapamil binding site of the protein. It is derived from structurally different drugs using the program GASP. The pharmacophore model consists of two hydrophobic points, three hydrogen bond (HB) acceptor points, and one HB donor point. Pharmacophore patterns of various drugs are obtained, and different binding modes are presumed for some of them. It is concluded that the binding affinity of the drugs depends on the number of the pharmacophore points simultaneously involved in the interaction with P-gp. On the basis of the obtained results, a hypothesis is proposed to explain the broad structural variety of the P-gp substrates and inhibitors: (i) the verapamil binding site of P-gp has several points that can participate in hydrophobic and HB interactions; (ii) different drugs can interact with different receptor points in different binding modes.

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Year:  2002        PMID: 12477351     DOI: 10.1021/jm020941h

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


  24 in total

1.  Thiorhodamines containing amide and thioamide functionality as inhibitors of the ATP-binding cassette drug transporter P-glycoprotein (ABCB1).

Authors:  Alexandra Orchard; Gregory A Schamerhorn; Brandon D Calitree; Geri A Sawada; Tip W Loo; M Claire Bartlett; David M Clarke; Michael R Detty
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Journal:  AAPS J       Date:  2006-02-03       Impact factor: 4.009

3.  Verapamil prevents, in a dose-dependent way, the loss of ChAT-immunoreactive neurons in the cerebral cortex following lesions of the rat nucleus basalis magnocellularis.

Authors:  Miroljub Popović; Maria Caballero-Bleda; Natalija Popović; Luis Puelles; Thomas van Groen; Menno P Witter
Journal:  Exp Brain Res       Date:  2005-11-23       Impact factor: 1.972

Review 4.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

5.  Antitumor agents. 293. Nontoxic dimethyl-4,4'-dimethoxy-5,6,5',6'-dimethylenedioxybiphenyl-2,2'-dicarboxylate (DDB) analogues chemosensitize multidrug-resistant cancer cells to clinical anticancer drugs.

Authors:  Hsin-Yi Hung; Emika Ohkoshi; Masuo Goto; Kenneth F Bastow; Kyoko Nakagawa-Goto; Kuo-Hsiung Lee
Journal:  J Med Chem       Date:  2012-05-21       Impact factor: 7.446

Review 6.  Molecular basis of the polyspecificity of P-glycoprotein (ABCB1): recent biochemical and structural studies.

Authors:  Eduardo E Chufan; Hong-May Sim; Suresh V Ambudkar
Journal:  Adv Cancer Res       Date:  2015-01-08       Impact factor: 6.242

7.  Total synthesis of ningalin D.

Authors:  Akiyuki Hamasaki; Jeffrey M Zimpleman; Inkyu Hwang; Dale L Boger
Journal:  J Am Chem Soc       Date:  2005-08-03       Impact factor: 15.419

Review 8.  Advancement of structure-activity relationship of multidrug resistance-associated protein 2 interactions.

Authors:  Li Xing; Yiding Hu; Yurong Lai
Journal:  AAPS J       Date:  2009-06-03       Impact factor: 4.009

9.  Rhodamine inhibitors of P-glycoprotein: an amide/thioamide "switch" for ATPase activity.

Authors:  Michael K Gannon; Jason J Holt; Stephanie M Bennett; Bryan R Wetzel; Tip W Loo; M Claire Bartlett; David M Clarke; Geri A Sawada; J William Higgins; Gregory Tombline; Thomas J Raub; Michael R Detty
Journal:  J Med Chem       Date:  2009-05-28       Impact factor: 7.446

10.  Prediction of P-glycoprotein inhibitors with machine learning classification models and 3D-RISM-KH theory based solvation energy descriptors.

Authors:  Vijaya Kumar Hinge; Dipankar Roy; Andriy Kovalenko
Journal:  J Comput Aided Mol Des       Date:  2019-11-19       Impact factor: 3.686

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