AI-assisted delivery of novel covalent WRN inhibitors from a non-covalent fragment screen.

IF 2.2 4区 医学 Q3 CHEMISTRY, MEDICINAL
Geoffrey M T Smith, Laksh Aithani, Charlotte E Barrett, Alwin O Bucher, Christopher D O Cooper, Sébastien L Degorce, Andrew S Doré, Catherine T Fletcher, Sophie Huber, Rosemary Huckvale, Amanda J Kennedy, Abigail A Mornement, Mark Pickworth, Prakash Rucktooa, Conor C G Scully, Sarah E Skerratt
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引用次数: 0

Abstract

Werner (WRN) helicase, has emerged as a promising therapeutic target for cancers associated with microsatellite instability (MSI). This letter describes the discovery of small molecule inhibitors from a fragment screen that occupy a cryptic, allosteric site of WRN helicase. Key findings include the identification of benzimidazole and amino-indazole scaffolds, exploiting their proximity to Cys727 via covalent modification. The use of our proprietary co-folding model DragonFold assisted the identification of novel WRN helicase inhibitors. These, together with near-neighbor profiling, offer tools for furthering the understanding of WRN and BLM helicase function, and potential therapeutic avenues for MSI-associated cancers.

人工智能辅助递送从非共价片段筛选的新型共价WRN抑制剂。
Werner (WRN)解旋酶已成为微卫星不稳定性(MSI)相关癌症的一个有希望的治疗靶点。这封信描述了从片段筛选中发现的小分子抑制剂,这些抑制剂占据了WRN解旋酶的一个隐变构位点。主要发现包括鉴定苯并咪唑和氨基茚唑支架,利用它们通过共价修饰与Cys727的接近性。使用我们专有的共折叠模型DragonFold协助鉴定新的WRN解旋酶抑制剂。这些与近邻谱分析一起,为进一步了解WRN和BLM解旋酶功能提供了工具,并为msi相关癌症提供了潜在的治疗途径。
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来源期刊
CiteScore
5.70
自引率
3.70%
发文量
463
审稿时长
27 days
期刊介绍: Bioorganic & Medicinal Chemistry Letters presents preliminary experimental or theoretical research results of outstanding significance and timeliness on all aspects of science at the interface of chemistry and biology and on major advances in drug design and development. The journal publishes articles in the form of communications reporting experimental or theoretical results of special interest, and strives to provide maximum dissemination to a large, international audience.
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