In silico study on indole derivatives as anti HIV-1 agents: a combined docking, molecular dynamics and 3D-QSAR study

被引:23
|
作者
Balupuri, Anand [1 ]
Gadhe, Changdev G. [1 ]
Balasubramanian, Pavithra K. [1 ]
Kothandan, Gugan [1 ]
Cho, Seung Joo [1 ,2 ]
机构
[1] Chosun Univ, Coll Med, Dept Bionew Drug Dev, Kwangju 501759, South Korea
[2] Chosun Univ, Dept Cellular & Mol Med, Coll Med, Kwangju 501759, South Korea
关键词
HIV-1 entry inhibitors; gp120; CoMFA; Molecular docking; Molecular dynamics simulation; MM-GBSA; IMMUNODEFICIENCY-VIRUS TYPE-1; ENVELOPE GLYCOPROTEIN; FORCE-FIELD; GP120; ENTRY; INHIBITORS; RECEPTOR; PEPTIDE; POTENT; REPLICATION;
D O I
10.1007/s12272-013-0313-1
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The HIV-1 envelope glycoprotein gp120 plays a vital role in the entry of virus into the host cells and is a potential antiviral drug target. Recently, indole derivatives have been reported to inhibit HIV-1 through binding to gp120, and this prevents gp120 and CD4 interaction to inhibit the infectivity of HIV-1. In this work, molecular docking, molecular dynamics (MD) and three-dimensional quantitative structure-activity relationship studies were carried out. Molecular docking studies of the most active and the least active compounds were performed to identify important residues in the binding pocket. We refined the docked poses by MD simulations which resulted in conformational changes. After equilibration, the structure of the ligand and receptor complex was stable. Therefore, we just took the last snapshot as the representative binding pose for this study. This pose for the most active inhibitor was used as a template for receptor-based alignment which was subsequently used for comparative molecular field analysis. Resultant 3D contour maps suggested smaller substituents are desirable at the 7-position of indole ring to avoid steric interactions with Ser375, Phe382 and Tyr384 residues in the active site. These results can be exploited to develop potential leads and for structure-based drug design of novel HIV-1 inhibitors.
引用
收藏
页码:1001 / 1015
页数:15
相关论文
共 50 条
  • [31] 3D-QSAR and molecular docking for the discovery of ketolide derivatives
    Ruan, Zhi-Xiong
    Huangfu, De-Sheng
    Xu, Xing-Jun
    Sun, Ping-Hua
    Chen, Wei-Min
    EXPERT OPINION ON DRUG DISCOVERY, 2013, 8 (04) : 427 - 444
  • [32] 3D-QSAR, docking and molecular dynamics for factor Xa inhibitors as anticoagulant agents
    Ghasemi, Jahan B.
    Hooshmand, Shabnam
    MOLECULAR SIMULATION, 2013, 39 (06) : 453 - 471
  • [33] Comparative study of non nucleoside inhibitors with HIV-1 reverse transcriptase based on 3D-QSAR and docking
    Chen, HF
    Yao, XJ
    Li, Q
    Yuan, SG
    Panaye, A
    Doucet, JP
    Fan, BT
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2003, 14 (5-6) : 455 - 474
  • [34] 3D-QSAR, molecular docking, and molecular dynamics analysis of dihydrodiazaindolone derivatives as PARP-1 inhibitors
    Jing Zhao
    Na Yu
    Xuemin Zhao
    Wenxuan Quan
    Mao Shu
    Journal of Molecular Modeling, 2023, 29
  • [35] 3D-QSAR, molecular docking, and molecular dynamics analysis of dihydrodiazaindolone derivatives as PARP-1 inhibitors
    Zhao, Jing
    Yu, Na
    Zhao, Xuemin
    Quan, Wenxuan
    Shu, Mao
    JOURNAL OF MOLECULAR MODELING, 2023, 29 (05)
  • [36] 3D-QSAR, molecular docking and molecular dynamics analysis of pyrazole derivatives as MALT1 inhibitors
    Chen, Xiaodie
    Li, Jiali
    Wang, Xiaomeng
    Liu, Rong
    Liu, Xingyu
    Shu, Mao
    NEW JOURNAL OF CHEMISTRY, 2023, 47 (42) : 19596 - 19607
  • [37] Combined 3D-QSAR, molecular docking, and molecular dynamics study on potent cyclohexene-based influenza neuraminidase inhibitors
    Li Ping Cheng
    Xin Ying Huang
    Zhi Wang
    Zhen Peng Kai
    Fan Hong Wu
    Monatshefte für Chemie - Chemical Monthly, 2014, 145 : 1213 - 1225
  • [38] Combined 3D-QSAR, molecular docking, and molecular dynamics study on potent cyclohexene-based influenza neuraminidase inhibitors
    Cheng, Li Ping
    Huang, Xin Ying
    Wang, Zhi
    Kai, Zhen Peng
    Wu, Fan Hong
    MONATSHEFTE FUR CHEMIE, 2014, 145 (07): : 1213 - 1225
  • [39] A combined 3D-QSAR and docking studies for the In-silico prediction of HIV-protease inhibitors
    Ul-Haq, Zaheer
    Usmani, Saman
    Shamshad, Hina
    Mahmood, Uzma
    Halim, Sobia Ahsan
    CHEMISTRY CENTRAL JOURNAL, 2013, 7
  • [40] 3D-QSAR and molecular modeling of HIV-1 integrase inhibitors
    Makhija, MT
    Kulkarni, VM
    JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2002, 16 (03) : 181 - 200