Seniya Chandrabhan, Yadav Ajay, Uchadia Kuldeep, Kumar Sanjay, Sagar Nitin, Shrivastava Priyanka, Shrivastava Shilpi, Wadhwa Gulshan
Department of Biotechnology, Madhav Institute of Technology & Science Gwalior - 474005, M. P., India.
Bioinformation. 2012;8(14):678-83. doi: 10.6026/97320630008678. Epub 2012 Jul 21.
The study of Human immunodeficiency virus (HIV) in humans and animal models in last 31 years suggested that it is a causative agent of AIDS. This causes serious pandemic public health concern globally. It was reported that the HIV-1 reverse transcriptase (RT) played a critical role in the life cycle of HIV. Therefore, inhibition of HIV-1RT enzyme is one of the major and potential targets in the treatment of AIDS. The enzyme (HIV-1RT) was successfully targeted by non nucleotide reverse transcriptase inhibitors (NNRTIs). But frequent application of NNRTIs led drug resistance mutation on HIV infections. Therefore, there is a need to search new NNRTIs with appropriate pharmacophores. For the purpose, a virtually screened 3D model of unliganded HIV-1RT (1DLO) was explored. The unliganded HIV-1RT (1DLO) was docked with 4-thiazolidinone and its derivatives (ChemBank Database) by using AutoDock4. The best seven docking solutions complex were selected and analyzed by Ligplot. The analysis showed that derivative (5E)-3-(2- aminoethyl)-5-(2- thienylmethylene)-1, 3-thiazolidine-2, 4-dione (CID 3087795) has maximum potential against unliganded HIV-1RT (1DLO). The analysis was done on the basis of scoring and binding ability. The derivative (5E)-3-(2- aminoethyl)-5-(2- thienylmethylene)-1, 3-thiazolidine-2, 4-dione (CID 3087795) indicated minimum energy score and highest number of interactions with active site residue and could be a promising inhibitor for HIV-1 RT as Drug target.
过去31年里对人类及动物模型中人类免疫缺陷病毒(HIV)的研究表明,它是艾滋病的病原体。这在全球范围内引发了严重的大流行公共卫生问题。据报道,HIV-1逆转录酶(RT)在HIV的生命周期中起着关键作用。因此,抑制HIV-1RT酶是治疗艾滋病的主要潜在靶点之一。非核苷类逆转录酶抑制剂(NNRTIs)成功地靶向了该酶(HIV-1RT)。但NNRTIs的频繁应用导致了HIV感染的耐药性突变。因此,需要寻找具有合适药效基团的新型NNRTIs。为此,探索了未结合配体的HIV-1RT(1DLO)的虚拟筛选3D模型。通过AutoDock4将未结合配体的HIV-1RT(1DLO)与4-噻唑烷酮及其衍生物(化学库数据库)进行对接。选择了最佳的七个对接解决方案复合物,并通过Ligplot进行分析。分析表明,衍生物(5E)-3-(2-氨基乙基)-5-(2-噻吩基亚甲基)-1,3-噻唑烷-2,4-二酮(CID 3087795)对未结合配体的HIV-1RT(1DLO)具有最大潜力。基于评分和结合能力进行了分析。衍生物(5E)-3-(2-氨基乙基)-5-(2-噻吩基亚甲基)-1,3-噻唑烷-2,4-二酮(CID 3087795)显示出最低的能量得分以及与活性位点残基的最多相互作用次数,可能是一种有前景的HIV-1 RT药物靶点抑制剂。