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通过药效团建模和分子对接在计算机上发现新型凝血因子Xa抑制剂

In silico Discovery of Novel FXa Inhibitors by Pharmacophore Modeling and Molecular Docking.

作者信息

Pu Yinglan, Liu Hui, Zhou Yeheng, Peng Jiale, Li Yaping, Li Penghua, Li Yingying, Liu Xingyong, Zhang Li

机构信息

School of Chemical Engineering, Sichuan University of Science & Engineering, Zigong, China.

出版信息

Nat Prod Bioprospect. 2017 Jun;7(3):249-256. doi: 10.1007/s13659-017-0126-x. Epub 2017 Jun 2.

Abstract

Coagulation Factor Xa (FXa) is the crucial enzyme at the convergent point of the intrinsic and extrinsic coagulation pathways. The inhibition of FXa is an effective approach against thrombotic diseases. In the present study, a specific strategy is reported to discover 10 novel FXa inhibitors based on ligand-based (pharmacophore) virtual screening and molecular docking analysis from a dataset of specs(containing 220000 molecules). The binding modes analysis provide insights into the contribution of particular structural moieties of the compounds towards their activity against FXa, and 10 novel structural compounds were discovered as potent candidate molecules. This work could be helpful in further design and development of FXa inhibitors.

摘要

凝血因子Xa(FXa)是内源性和外源性凝血途径交汇点的关键酶。抑制FXa是治疗血栓性疾病的有效方法。在本研究中,报告了一种基于配体(药效团)虚拟筛选和分子对接分析的特定策略,从一个包含220000个分子的Specs数据集中发现了10种新型FXa抑制剂。结合模式分析为化合物的特定结构部分对其抗FXa活性的贡献提供了见解,并发现了10种新型结构化合物作为有效的候选分子。这项工作可能有助于进一步设计和开发FXa抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9af/5481271/547eda317ce7/13659_2017_126_Fig1_HTML.jpg

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