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通过前瞻性虚拟筛选发现针对CXCR4受体的新型HIV进入抑制剂。

Discovery of novel HIV entry inhibitors for the CXCR4 receptor by prospective virtual screening.

作者信息

Pérez-Nueno Violeta I, Pettersson Sofia, Ritchie David W, Borrell José I, Teixidó Jordi

机构信息

Grup d'Enginyeria Molecular, Institut Quimic de Sarria (IQS), Universitat Ramon Llull, Barcelona, Spain.

出版信息

J Chem Inf Model. 2009 Apr;49(4):810-23. doi: 10.1021/ci800468q.

Abstract

The process of HIV entry begins with the binding of the viral envelope glycoprotein gp120 to both the CD4 receptor and one of CXCR4 or CCR5 chemokine coreceptors. There is currently considerable interest in developing novel ligands which can attach to these coreceptors and hence block virus-cell fusion. This article compares the application of structure-based (docking) and ligand-based (QSAR analyses, pharmacophore modeling, and shape matching) virtual screening tools to find new potential HIV entry inhibitors for the CXCR4 receptor. The comparison is based on retrospective virtual screening of a library containing different known CXCR4 inhibitors from the literature, a smaller set of active CXCR4 inhibitors selected from a large combinatorial virtual library and synthesized by us, and some druglike presumed inactive molecules as the reference set. The enrichment factors and diversity of the retrieved molecular scaffolds in the virtual hit lists was determined. Once the different virtual screening approaches had been validated and the best parameters had been selected, prospective virtual screening of our virtual library was applied to identify new anti-HIV compounds using the same protocol as in the retrospective virtual screening analysis. The compounds selected using these computational tools were subsequently synthesized and assayed and showed activity values ranging from 4 to 0.022 microg/mL.

摘要

HIV进入细胞的过程始于病毒包膜糖蛋白gp120与CD4受体以及CXCR4或CCR5趋化因子共受体之一的结合。目前,人们对开发能够附着于这些共受体从而阻断病毒与细胞融合的新型配体有着浓厚兴趣。本文比较了基于结构(对接)和基于配体(定量构效关系分析、药效团建模和形状匹配)的虚拟筛选工具在寻找新型CXCR4受体HIV进入抑制剂方面的应用。该比较基于对一个文库的回顾性虚拟筛选,该文库包含文献中不同的已知CXCR4抑制剂、从一个大型组合虚拟文库中挑选并由我们合成的一小部分活性CXCR4抑制剂,以及一些类似药物的假定无活性分子作为参考集。测定了虚拟命中列表中检索到的分子支架的富集因子和多样性。一旦验证了不同的虚拟筛选方法并选择了最佳参数,就按照与回顾性虚拟筛选分析相同的方案,对我们的虚拟文库进行前瞻性虚拟筛选,以鉴定新的抗HIV化合物。使用这些计算工具选择的化合物随后进行了合成和测定,活性值范围为4至0.022微克/毫升。

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