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针对 HIV-1 gp120 的新型磺胺衍生物的计算设计、合成与评估。

Computational design, synthesis and evaluation of new sulphonamide derivatives targeting HIV-1 gp120.

机构信息

Molecular Modeling and Medicinal Chemistry Group, Department of Chemistry, University College of Science, Osmania University, Hyderabad, Telangana, 500 007, India.

Department of Chemistry, Nizam College, Osmania University, Hyderabad, 500 001, India.

出版信息

J Comput Aided Mol Des. 2020 Jan;34(1):39-54. doi: 10.1007/s10822-019-00258-0. Epub 2019 Dec 2.

Abstract

Attachment of envelope glycoprotein gp120 to the host cell receptor CD4 is the first step during the human immunodeficiency virus-1 (HIV-1) entry into the host cells that makes it a promising target for drug design. To elucidate the crucial three dimensional (3D) structural features of reported HIV-1 gp120 CD4 binding inhibitors, 3D pharmacophores were generated and receptor based approach was employed to quantify these structural features. A four-partial least square factor model with good statistics and predictive ability was generated for the dataset of 100 molecules. To further ascertain the structural requirement for gp120-CD4 binding inhibition, molecular interaction studies of inhibitors with gp120 was carried out by performing molecular docking using Glide 5.6. Based on these studies, structural requirements were drawn and new molecules were designed accordingly to yield new sulphonamides derivatives. A water based green synthetic approach was adopted to obtain these compounds which were evaluated for their HIV-1 gp120 CD4 binding inhibition. The newly synthesized compounds exhibited remarkable activity (10-fold increase) when compared with the standard BMS 806. Further the stability of newly synthesized derivatives with HIV-1 gp120 was also investigated through molecular dynamics simulation studies. This provides a proof of concept for molecular modeling based design of new inhibitors for inhibition of HIV-1 gp120 CD4 interaction.

摘要

包膜糖蛋白 gp120 与宿主细胞受体 CD4 的附着是人类免疫缺陷病毒-1(HIV-1)进入宿主细胞的第一步,这使其成为药物设计的有前途的靶标。为了阐明报道的 HIV-1 gp120 CD4 结合抑制剂的关键三维(3D)结构特征,生成了 3D 药效团,并采用基于受体的方法来量化这些结构特征。对于 100 个分子的数据集,生成了具有良好统计学和预测能力的四部分最小二乘因子模型。为了进一步确定 gp120-CD4 结合抑制的结构要求,通过使用 Glide 5.6 进行分子对接研究了抑制剂与 gp120 的分子相互作用。基于这些研究,得出了结构要求,并相应地设计了新的分子,以产生新的磺酰胺衍生物。采用基于水的绿色合成方法获得了这些化合物,并评估了它们对 HIV-1 gp120 CD4 结合的抑制作用。与标准 BMS 806 相比,新合成的化合物表现出显著的活性(增加了 10 倍)。此外,还通过分子动力学模拟研究调查了新合成衍生物与 HIV-1 gp120 的稳定性。这为基于分子建模设计新的抑制剂以抑制 HIV-1 gp120 CD4 相互作用提供了一个概念证明。

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