Please use this identifier to cite or link to this item: https://doi.org/10.1016/S1359-6446(05)03377-5
Title: Computer prediction of drug resistance mutations in proteins
Authors: Cao, Z.W. 
Han, L.Y. 
Zheng, C.J. 
Ji, Z.L.
Chen, X. 
Lin, H.H.
Chen, Y.Z. 
Issue Date: 1-Apr-2005
Source: Cao, Z.W., Han, L.Y., Zheng, C.J., Ji, Z.L., Chen, X., Lin, H.H., Chen, Y.Z. (2005-04-01). Computer prediction of drug resistance mutations in proteins. Drug Discovery Today 10 (7) : 521-529. ScholarBank@NUS Repository. https://doi.org/10.1016/S1359-6446(05)03377-5
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. ©2005 Elsevier Ltd. All rights reserved.
Source Title: Drug Discovery Today
URI: http://scholarbank.nus.edu.sg/handle/10635/53341
ISSN: 13596446
DOI: 10.1016/S1359-6446(05)03377-5
Appears in Collections:Staff Publications

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