Literature DB >> 25523211

Identification of potent orally active factor Xa inhibitors based on conjugation strategy and application of predictable fragment recommender system.

Tsukasa Ishihara1, Yuji Koga2, Yoshiyuki Iwatsuki3, Fukushi Hirayama2.   

Abstract

Anticoagulant agents have emerged as a promising class of therapeutic drugs for the treatment and prevention of arterial and venous thrombosis. We investigated a series of novel orally active factor Xa inhibitors designed using our previously reported conjugation strategy to boost oral anticoagulant effect. Structural optimization of anthranilamide derivative 3 as a lead compound with installation of phenolic hydroxyl group and extensive exploration of the P1 binding element led to the identification of 5-chloro-N-(5-chloro-2-pyridyl)-3-hydroxy-2-{[4-(4-methyl-1,4-diazepan-1-yl)benzoyl]amino}benzamide (33, AS1468240) as a potent factor Xa inhibitor with significant oral anticoagulant activity. We also reported a newly developed Free-Wilson-like fragment recommender system based on the integration of R-group decomposition with collaborative filtering for the structural optimization process.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Collaborative filtering; Conjugation; Factor Xa; Recommender system

Mesh:

Substances:

Year:  2014        PMID: 25523211     DOI: 10.1016/j.bmc.2014.11.042

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  1 in total

1.  Hybrid semantic recommender system for chemical compounds in large-scale datasets.

Authors:  Marcia Barros; Andre Moitinho; Francisco M Couto
Journal:  J Cheminform       Date:  2021-02-23       Impact factor: 5.514

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.