期刊
DRUG DISCOVERY TODAY
卷 15, 期 5-6, 页码 186-197出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.drudis.2010.01.004
关键词
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资金
- Chinese Natural Science Foundation [30670497, 30970784]
- National Key Basic Research Program of China [200901930200]
- Beijing Natural Science Foundation [5072002, 7082006]
- Doctorate Program of Higher Education of China [X0015001200801]
- Chinese Academy of Sciences (CAS) [07165111ZX]
- China-Finland Nanotechnology [2008DFA01510]
The HIV replication cycle offers multiple targets for chemotherapeutic intervention, including the viral exterior envelope glycoprotein, gp120; viral co-receptors CXCR4 and CCR5; transmembrane glycoprotein, gp41; integrase; reverse transcriptase; protease and so on. Most currently used anti-HIV drugs are reverse transcriptase inhibitors or protease inhibitors. The expanding application of simulation to drug design combined with experimental techniques have developed a large amount of novel inhibitors that interact specifically with targets besides transcriptase and protease. This review presents details of the anti-HIV inhibitors discovered with computer-aided approaches and provides an overview of the recent five-year achievements in the treatment of HIV infection and the application of computational methods to current drug design.
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