Suppr超能文献

晚期功能化提高药物样分子性质。

Late-stage Functionalization for Improving Drug-like Molecular Properties.

机构信息

School of Chemistry, The University of Sydney, Sydney, NSW 2006, Australia.

出版信息

Chem Rev. 2023 Jul 12;123(13):8127-8153. doi: 10.1021/acs.chemrev.2c00797. Epub 2023 Jun 7.

Abstract

The development of late-stage functionalization (LSF) methodologies, particularly C-H functionalization, has revolutionized the field of organic synthesis. Over the past decade, medicinal chemists have begun to implement LSF strategies into their drug discovery programs, allowing for the drug discovery process to become more efficient. Most reported applications of late-stage C-H functionalization of drugs and drug-like molecules have been to rapidly diversify screening libraries to explore structure-activity relationships. However, there has been a growing trend toward the use of LSF methodologies as an efficient tool for improving drug-like molecular properties of promising drug candidates. In this review, we have comprehensively reviewed recent progress in this emerging area. Particular emphasis is placed on case studies where multiple LSF techniques were implemented to generate a library of novel analogues with improved drug-like properties. We have critically analyzed the current scope of LSF strategies to improve drug-like properties and commented on how we believe LSF can transform drug discovery in the future. Overall, we aim to provide a comprehensive survey of LSF techniques as tools for efficiently improving drug-like molecular properties, anticipating its continued uptake in drug discovery programs.

摘要

晚期功能化(LSF)方法的发展,特别是 C-H 功能化,彻底改变了有机合成领域。在过去的十年中,药物化学家开始将 LSF 策略纳入他们的药物发现计划中,使得药物发现过程更加高效。大多数报道的药物和类似物的晚期 C-H 功能化应用都是为了快速多样化筛选文库以探索结构-活性关系。然而,人们越来越倾向于使用 LSF 方法作为一种有效的工具来改善有前途的药物候选物的类药性分子特性。在这篇综述中,我们全面回顾了这一新兴领域的最新进展。特别强调了一些案例研究,其中实施了多种 LSF 技术来生成具有改善的类药性的新型类似物文库。我们批判性地分析了目前改善类药性的 LSF 策略的范围,并评论了我们如何相信 LSF 可以改变未来的药物发现。总的来说,我们旨在提供一个全面的调查 LSF 技术作为工具,以有效地改善类药性分子特性,预计它将在药物发现计划中得到持续采用。

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