Computer prediction of drug resistance mutations in proteins.
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.
Cao
Zhi Wei
ZW
Bioinformatics and Drug Design Group, Department of Computational Science, National University of Singapore, BLK SOC 1, level 7, Singapore 117543.
Han
Lian Yi
LY
Zheng
Chan Juan
CJ
Ji
Zhi Lang
ZL
Chen
Xin
X
Lin
Hong Huang
HH
Chen
Yu Zong
YZ
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*
D011506:Proteins