Suppr超能文献

基于深度学习设计、合成和生物评价发现吡唑并[3,4-]哒嗪酮衍生物作为选择性 DDR1 抑制剂。

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

机构信息

ByteDance AI Lab, 1999 Yishan Road, Shanghai 201103, China.

School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China.

出版信息

J Med Chem. 2022 Jan 13;65(1):103-119. doi: 10.1021/acs.jmedchem.1c01205. Epub 2021 Nov 25.

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 , which showed potent DDR1 inhibition profile (IC = 10.6 ± 1.9 nM) and excellent selectivity against a panel of 430 kinases ( (10) = 0.002 at 0.1 μM). Compound 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.

摘要

DDR1(Discoidin Domain Receptor 1)的改变可能导致炎症细胞因子的产生增加,这使得 DDR1 成为炎症性肠病(IBD)治疗的一个有吸引力的靶点。通过整合深度生成模型、激酶选择性筛选和分子对接,建立并执行了基于支架的分子设计工作流程,从而得到了一种新型的 DDR1 抑制剂化合物 ,该化合物表现出强大的 DDR1 抑制特性(IC = 10.6 ± 1.9 nM),对 430 种激酶的选择性良好(在 0.1 μM 时,(10)= 0.002)。化合物 能够抑制细胞中促炎细胞因子的表达和 DDR1 的自身磷酸化,并且在葡聚糖硫酸钠(DSS)诱导的小鼠结肠炎模型中也表现出有前景的口服治疗效果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验