Literature DB >> 15809198

Computer prediction of drug resistance mutations in proteins.

Zhi Wei Cao1, Lian Yi Han, Chan Juan Zheng, Zhi Lang Ji, Xin Chen, Hong Huang Lin, Yu Zong Chen.   

Abstract

Drug resistance is of increasing concern in the treatment of infectious diseases and cancer. Mutation in drug-interacting disease proteins is one of the primary causes for resistance particularly against anti-infectious drugs. Prediction of resistance mutations in these proteins is valuable both for the molecular dissection of drug resistance mechanisms and for predicting features that guide the design of new agents to counter resistant strains. Several protein structure- and sequence-based computer methods have been explored for mechanistic study and prediction of resistance mutations. These methods and their usefulness are reviewed here.

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Year:  2005        PMID: 15809198     DOI: 10.1016/S1359-6446(05)03377-5

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  21 in total

1.  Predicting resistance mutations using protein design algorithms.

Authors:  Kathleen M Frey; Ivelin Georgiev; Bruce R Donald; Amy C Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-19       Impact factor: 11.205

2.  Prediction of zanamivir efficiency over the possible 2009 influenza A (H1N1) mutants by multiple molecular dynamics simulations and free energy calculations.

Authors:  Dabo Pan; Huijun Sun; Chongliang Bai; Yulin Shen; Nengzhi Jin; Huanxiang Liu; Xiaojun Yao
Journal:  J Mol Model       Date:  2010-12-31       Impact factor: 1.810

3.  Exploring the Drug Resistance of HCV Protease.

Authors:  Garima Jindal; Dibyendu Mondal; Arieh Warshel
Journal:  J Phys Chem B       Date:  2017-07-05       Impact factor: 2.991

4.  Structural analysis of an HIV-1 protease I47A mutant resistant to the protease inhibitor lopinavir.

Authors:  Ron M Kagan; Mark D Shenderovich; Peter N R Heseltine; Kal Ramnarayan
Journal:  Protein Sci       Date:  2005-06-03       Impact factor: 6.725

Review 5.  Structure-based methods for predicting target mutation-induced drug resistance and rational drug design to overcome the problem.

Authors:  Ge-Fei Hao; Guang-Fu Yang; Chang-Guo Zhan
Journal:  Drug Discov Today       Date:  2012-07-10       Impact factor: 7.851

6.  Molecular surface mesh generation by filtering electron density map.

Authors:  Joachim Giard; Benoît Macq
Journal:  Int J Biomed Imaging       Date:  2010-04-12

7.  Predicting drug resistance of the HIV-1 protease using molecular interaction energy components.

Authors:  Tingjun Hou; Wei Zhang; Jian Wang; Wei Wang
Journal:  Proteins       Date:  2009-03

8.  Evaluating the potency of HIV-1 protease drugs to combat resistance.

Authors:  Tingjun Hou; William A McLaughlin; Wei Wang
Journal:  Proteins       Date:  2008-05-15

9.  Dynamical basis for drug resistance of HIV-1 protease.

Authors:  Yi Mao
Journal:  BMC Struct Biol       Date:  2011-07-08

10.  Personalized prediction of EGFR mutation-induced drug resistance in lung cancer.

Authors:  Debby D Wang; Weiqiang Zhou; Hong Yan; Maria Wong; Victor Lee
Journal:  Sci Rep       Date:  2013-10-04       Impact factor: 4.379

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