Investigation on the binding mode of benzothiophene analogues as potent factor IXa (FIXa) inhibitors in thrombosis by CoMFA, docking and molecular dynamic studies-Reference-Cited by-同舟云学术

Investigation on the binding mode of benzothiophene analogues as potent factor IXa (FIXa) inhibitors in thrombosis by CoMFA, docking and molecular dynamic studies

Published:2011-03-07 Issue:6 Volume:26 Page:792-804
ISSN:1475-6366
Container-title:Journal of Enzyme Inhibition and Medicinal Chemistry
language:en
Short-container-title:Journal of Enzyme Inhibition and Medicinal Chemistry

Author:

Hao Ming¹,Li Yan¹,Zhang Shu-Wei¹,Yang Wei²

Affiliation:

1. School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning, China

2. Center of Bioinformatics, Northwest A&F University, Yangling, Shaanxi, China

Publisher

Informa UK Limited

Subject

Drug Discovery,Pharmacology,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.3109/14756366.2011.554414

Reference50 articles.

1. 5-Amidinoindoles as dual inhibitors of coagulation factors IXa and Xa

2. Virtual Screening with Flexible Docking and COMBINE-Based Models. Application to a Series of Factor Xa Inhibitors

3. Anchor−GRIND: Filling the Gap between Standard 3D QSAR and the GRid-INdependent Descriptors

4. Decreased mortality of ischaemic heart disease among carriers of haemophilia

5. The coagulation factor lottery – Is 9 the winning number?

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Overview of the Pharmacological Activities and Synthesis of Benzothiophene Derivatives;Medicinal Chemistry;2024-11

2. A Structure Based Study of Selective Inhibition of Factor IXa over Factor Xa;Molecules;2021-09-03

3. In Silico Design of New B-Raf Kinase Type-II Inhibitors Through Combined Molecular Modeling Studies;Letters in Drug Design & Discovery;2019-04-15

4. Discovery of FIXa inhibitors by combination of pharmacophore modeling, molecular docking, and 3D-QSAR modeling;Journal of Receptors and Signal Transduction;2018-05-04

5. Open-source chemogenomic data-driven algorithms for predicting drug–target interactions;Briefings in Bioinformatics;2018-02-06