Literature DB >> 16307883

Structure-activity relationships of a series of tariquidar analogs as multidrug resistance modulators.

Christoph Globisch1, Ilza K Pajeva, Michael Wiese.   

Abstract

Tariquidar (XR9576) analogs, modulators of cancer multidrug resistance (MDR), were subjected to QSAR and 3D-QSAR analyses. The structural features contributing to anti-MDR activity were identified by the Free-Wilson analysis and pharmacophore search using Hoechst 33342 as a template. 3D-QSAR CoMFA and CoMSIA models were derived and tested. The best models yielded an external predictivity of 0.66-0.75 squared correlation coefficient and outlined HB-acceptor, steric, and hydrophobic fields as the most important 3D properties. On the basis of the QSAR and 3D-QSAR analyses it was suggested that the strong inhibitory potency of the compounds studied is related to the presence of a bulky aromatic ring system with a 3rd positioned heteroatom toward the anthranilamide nucleus in the opposite end of the tetrahydroquinoline group. The results can help in directing the rational design of new generations of potent P-glycoprotein MDR modulators.

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Year:  2005        PMID: 16307883     DOI: 10.1016/j.bmc.2005.10.058

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  10 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

Review 2.  Modeling kinetics of subcellular disposition of chemicals.

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

3.  In silico quantitative structure-activity relationship studies on P-gp modulators of tetrahydroisoquinoline-ethyl-phenylamine series.

Authors:  Changdev G Gadhe; Thirumurthy Madhavan; Gugan Kothandan; Seung Joo Cho
Journal:  BMC Struct Biol       Date:  2011-01-26

4.  TM2, a novel semi-synthetic taxoid, exerts anti-MDR activity in NSCLC by inhibiting P-gp function and stabilizing microtubule polymerization.

Authors:  Lina Jia; Xiaoyun Gao; Yi Fang; Haotian Zhang; Lihui Wang; Xing Tang; Jingyu Yang; Chunfu Wu
Journal:  Apoptosis       Date:  2022-09-15       Impact factor: 5.561

5.  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

6.  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

Review 7.  Nanopreparations to overcome multidrug resistance in cancer.

Authors:  Niravkumar R Patel; Bhushan S Pattni; Abraham H Abouzeid; Vladimir P Torchilin
Journal:  Adv Drug Deliv Rev       Date:  2013-08-23       Impact factor: 15.470

8.  HZ08 reverse P-glycoprotein mediated multidrug resistance in vitro and in vivo.

Authors:  Zheyi Hu; Zaigang Zhou; Yahui Hu; Jinhui Wu; Yunman Li; Wenlong Huang
Journal:  PLoS One       Date:  2015-02-17       Impact factor: 3.240

9.  In vivo imaging of multidrug resistance using a third generation MDR1 inhibitor.

Authors:  Melissa M Sprachman; Ashley M Laughney; Rainer H Kohler; Ralph Weissleder
Journal:  Bioconjug Chem       Date:  2014-05-14       Impact factor: 4.774

Review 10.  Interplay between P-Glycoprotein Expression and Resistance to Endoplasmic Reticulum Stressors.

Authors:  Milan Hano; Lenka Tomášová; Mário Šereš; Lucia Pavlíková; Albert Breier; Zdena Sulová
Journal:  Molecules       Date:  2018-02-06       Impact factor: 4.411

  10 in total

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