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

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

  • Bioorg Med Chem. 2015 Jan 15;23(2):277-89. doi: 10.1016/j.bmc.2014.11.042.
Tsukasa Ishihara 1 Yuji Koga 2 Yoshiyuki Iwatsuki 3 Fukushi Hirayama 2
Affiliations

Affiliations

  • 1 Drug Discovery Research, Astellas Pharma Inc., 21, Miyukigaoka, Tsukuba-shi, Ibaraki 305-8585, Japan. Electronic address: tsukasa.ishihara@astellas.com.
  • 2 Drug Discovery Research, Astellas Pharma Inc., 21, Miyukigaoka, Tsukuba-shi, Ibaraki 305-8585, Japan.
  • 3 Pharmacovigilance, Astellas Pharma Inc., 2-5-1, Nihonbashi-Honcho, Chuo-ku, Tokyo 103-8411, Japan.
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.

Keywords

Collaborative filtering; Conjugation; Factor Xa; Recommender system.

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