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Discovery of Pyrazolo[3,4- d ]pyridazinone Derivatives as Selective DDR1 Inhibitors via Deep Learning Based Design, Synthesis, and Biological Evaluation.

Authors :
Tan X
Li C
Yang R
Zhao S
Li F
Li X
Chen L
Wan X
Liu X
Yang T
Tong X
Xu T
Cui R
Jiang H
Zhang S
Liu H
Zheng M
Source :
Journal of medicinal chemistry [J Med Chem] 2022 Jan 13; Vol. 65 (1), pp. 103-119. Date of Electronic Publication: 2021 Nov 25.
Publication Year :
2022

Abstract

Alterations of discoidin domain receptor1 (DDR1) may lead to increased production of inflammatory cytokines, making DDR1 an attractive target for inflammatory bowel disease (IBD) therapy. A scaffold-based molecular design workflow was established and performed by integrating a deep generative model, kinase selectivity screening and molecular docking, leading to a novel DDR1 inhibitor compound 2 , which showed potent DDR1 inhibition profile (IC <subscript>50</subscript> = 10.6 ± 1.9 nM) and excellent selectivity against a panel of 430 kinases ( S (10) = 0.002 at 0.1 μM). Compound 2 potently inhibited the expression of pro-inflammatory cytokines and DDR1 autophosphorylation in cells, and it also demonstrated promising oral therapeutic effect in a dextran sulfate sodium (DSS)-induced mouse colitis model.

Details

Language :
English
ISSN :
1520-4804
Volume :
65
Issue :
1
Database :
MEDLINE
Journal :
Journal of medicinal chemistry
Publication Type :
Academic Journal
Accession number :
34821145
Full Text :
https://doi.org/10.1021/acs.jmedchem.1c01205