title: Computer prediction of drug resistance mutations in proteins.
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.
authors.affiliation: Bioinformatics and Drug Design Group, Department of Computational Science, National University of Singapore, BLK SOC 1, level 7, Singapore 117543.
authors.forename: Zhi Wei
authors.initials: ZW
authors.lastname: Cao
authors.forename: Lian Yi
authors.initials: LY
authors.lastname: Han
authors.forename: Chan Juan
authors.initials: CJ
authors.lastname: Zheng
authors.forename: Zhi Lang
authors.initials: ZL
authors.lastname: Ji
authors.forename: Xin
authors.initials: X
authors.lastname: Chen
authors.forename: Hong Huang
authors.initials: HH
authors.lastname: Lin
authors.forename: Yu Zong
authors.initials: YZ
authors.lastname: Chen
mesh_terms: D003198:Computer Simulation; D003205:Computing Methodologies; D004351:Drug Resistance / Q000235:genetics*; D008958:Models, Molecular; D009154:Mutation; D016571:Neural Networks, Computer; D011487:Protein Conformation; D011506:Proteins / Q000235:genetics*
chemical_list: D011506:Proteins