Suppr超能文献

用于从头化合物到先导化合物发现的稳健策略:NMR 用于 SAR。

Robust Strategy for Hit-to-Lead Discovery: NMR for SAR.

机构信息

NMX Research and Solutions Inc., Laval H7V 5B7, Canada.

INRS - Centre Armand-Frappier Santé Biotechnologie, Laval H7V 1B7, Canada.

出版信息

J Med Chem. 2023 Oct 12;66(19):13416-13427. doi: 10.1021/acs.jmedchem.3c00656. Epub 2023 Sep 21.

Abstract

Establishing robust structure-activity relationships (SARs) is key to successful drug discovery campaigns, yet it often remains elusive due to screening and hit validation artifacts (false positives and false negatives), which frequently result in unproductive downstream expenditures of time and resources. To address this issue, we developed an integrative biophysics-driven strategy that expedites hit-to-lead discovery, mitigates false positives/negatives and common hit validation errors, and provides a robust approach to obtaining accurate binding and affinity measurements. The advantage of this method is that it vastly improves the clarity and reproducibility for affinity-driven SAR by monitoring and eliminating confounding factors. We demonstrate the ease at which high-quality micromolar binders can be generated from the initial millimolar fragment screening hits against an "undruggable" protein target, HRas.

摘要

建立稳健的构效关系(SAR)是药物发现成功的关键,但由于筛选和命中验证的伪影(假阳性和假阴性),这通常难以实现,这经常导致下游时间和资源的无效支出。为了解决这个问题,我们开发了一种综合的生物物理驱动的策略,加快了从命中到先导的发现,减轻了假阳性/阴性和常见的命中验证错误,并提供了一种获得准确结合和亲和力测量的稳健方法。这种方法的优势在于,它通过监测和消除混杂因素,极大地提高了亲和力驱动的 SAR 的清晰度和可重复性。我们展示了如何从最初针对“不可成药”蛋白质靶标 HRas 的毫摩尔片段筛选命中中,轻松地生成高质量的微摩尔结合物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f74/10578354/9091bb1f0fcf/jm3c00656_0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验