Revealing the Drug-Resistant Mechanism for Diarylpyrimidine Analogue Inhibitors of HIV-1 Reverse Transcriptase

被引:7
作者
Zhang, Hao [2 ]
Qin, Fang [2 ]
Ye, Wei [2 ]
Li, Zeng [2 ]
Ma, Songyao [2 ]
Xia, Yan [2 ]
Jiang, Yi [2 ]
Zhu, Jiayi [3 ]
Li, Yixue [1 ]
Zhang, Jian [4 ]
Chen, Hai-Feng [1 ,2 ]
机构
[1] Shanghai Ctr Bioinformat Technol, Shanghai 200235, Peoples R China
[2] Shanghai Jiao Tong Univ, State Key Lab Microbial Metab, Dept Bioinformat & Biostat, Coll Life Sci & Biotechnol, Shanghai 200240, Peoples R China
[3] Shanghai Jiao Tong Univ, High Sch, Shanghai 200439, Peoples R China
[4] Shanghai Jiao Tong Univ, Dept Pathophysiol, Key Lab Cell Differentiat & Apoptosis, Chinese Minist Educ,Sch Med, Shanghai 200025, Peoples R China
基金
上海市自然科学基金;
关键词
3D-QSAR; diarylpyrimidine analogues; drug resistance; HIV-1 reverse transcriptase; molecular dynamics simulation; MOLECULAR-DYNAMICS SIMULATION; WILD-TYPE; LYS103ASN MUTATION; SIMILARITY INDEXES; STRUCTURAL BASIS; FIELD ANALYSIS; MUTANT; BINDING; POTENT; DISCOVERY;
D O I
10.1111/j.1747-0285.2011.01163.x
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Diaryltriazine (DATA) and diarylpyrimidine (DAPY) were two category inhibitors with highly potent activity for wild type (wt) and four principal mutant types (L100I, K103N, Y181C and Y188L) of HIV-1 reverse transcriptase (RT). We had revealed the drug-resistant mechanism of DATA analogue inhibitors with molecular dynamics simulation and three-dimensional quantitative structure-activity relationship (3D-QSAR) methods. In this work, we investigated the drug-resistant mechanism of DAPY analogue inhibitors. It was found that DAPY analogue inhibitors form more hydrogen bonds and hydrophobic contacts with wild type and mutants of HIV-1 RT than DATA inhibitors. This could explain that DAPY analogue inhibitors are more potent than DATA for the wild type and mutants of HIV-1 RT. Then, 3D-QSAR models were constructed for these inhibitors of wild type and four principal mutant types HIV-1 RT and evaluated by test set compounds. These combined models can be used to design new chemical entities and make quantitative prediction of the bioactivities for HIV-1 RT inhibitors before resorting to in vitro and in vivo experiment.
引用
收藏
页码:427 / 437
页数:11
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