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αIIbβ3拮抗剂作为抗血小板药物的设计、虚拟筛选及合成

Design, Virtual Screening, and Synthesis of Antagonists of αIIbβ3 as Antiplatelet Agents.

作者信息

Polishchuk Pavel G, Samoylenko Georgiy V, Khristova Tetiana M, Krysko Olga L, Kabanova Tatyana A, Kabanov Vladimir M, Kornylov Alexander Yu, Klimchuk Olga, Langer Thierry, Andronati Sergei A, Kuz'min Victor E, Krysko Andrei A, Varnek Alexandre

机构信息

A.V. Bogatsky Physico-Chemical Institute of National Academy of Sciences of Ukraine , Lustdorfskaya doroga 86, Odessa 65080, Ukraine.

Laboratory of Chemoinformatics (UMR 7140 CNRS/UniStra), University of Strasbourg , 1, rue B. Pascal, Strasbourg 67000, France.

出版信息

J Med Chem. 2015 Oct 8;58(19):7681-94. doi: 10.1021/acs.jmedchem.5b00865. Epub 2015 Sep 25.

Abstract

This article describes design, virtual screening, synthesis, and biological tests of novel αIIbβ3 antagonists, which inhibit platelet aggregation. Two types of αIIbβ3 antagonists were developed: those binding either closed or open form of the protein. At the first step, available experimental data were used to build QSAR models and ligand- and structure-based pharmacophore models and to select the most appropriate tool for ligand-to-protein docking. Virtual screening of publicly available databases (BioinfoDB, ZINC, Enamine data sets) with developed models resulted in no hits. Therefore, small focused libraries for two types of ligands were prepared on the basis of pharmacophore models. Their screening resulted in four potential ligands for open form of αIIbβ3 and four ligands for its closed form followed by their synthesis and in vitro tests. Experimental measurements of affinity for αIIbβ3 and ability to inhibit ADP-induced platelet aggregation (IC50) showed that two designed ligands for the open form 4c and 4d (IC50 = 6.2 nM and 25 nM, respectively) and one for the closed form 12b (IC50 = 11 nM) were more potent than commercial antithrombotic Tirofiban (IC50 = 32 nM).

摘要

本文描述了新型αIIbβ3拮抗剂的设计、虚拟筛选、合成及生物学测试,这些拮抗剂可抑制血小板聚集。开发了两种类型的αIIbβ3拮抗剂:与该蛋白的闭合或开放形式结合的拮抗剂。第一步,利用现有的实验数据构建定量构效关系(QSAR)模型、基于配体和结构的药效团模型,并选择最适合配体-蛋白对接的工具。用开发的模型对公开可用数据库(生物信息数据库、锌数据库、依诺胺数据集)进行虚拟筛选,未得到命中结果。因此,基于药效团模型制备了针对两种类型配体的小型聚焦文库。对其进行筛选,得到了四种针对αIIbβ3开放形式的潜在配体和四种针对其闭合形式的配体,随后进行了合成和体外测试。对αIIbβ3的亲和力及抑制ADP诱导的血小板聚集能力(IC50)的实验测量表明,两种针对开放形式设计的配体4c和4d(IC50分别为6.2 nM和25 nM)以及一种针对闭合形式的配体12b(IC50 = 11 nM)比市售抗血栓药物替罗非班(IC50 = 32 nM)更有效。

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