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减轻共价药物设计中严重不良反应风险的方法。

Approaches to mitigate the risk of serious adverse reactions in covalent drug design.

作者信息

Baillie Thomas A

机构信息

Department of Medicinal Chemistry, School of Pharmacy, University of Washington Seattle, Seattle, WA, USA.

出版信息

Expert Opin Drug Discov. 2021 Mar;16(3):275-287. doi: 10.1080/17460441.2021.1832079. Epub 2020 Oct 19.

Abstract

INTRODUCTION

Covalent inhibition of target proteins using high affinity ligands bearing weakly electrophilic warheads is being adopted increasingly as design strategy in the discovery of novel therapeutics, and several covalent drugs have now received regulatory approval for indications in oncology. Experience to date with targeted covalent inhibitors has led to a number of design principles that underlie the safety and efficacy of this increasingly important class of molecules.

AREAS COVERED

A review is provided of the current status of the covalent drug approach, emphasizing the unique benefits and attendant risks associated with reversible and irreversible binders. Areas of application beyond inhibition of tyrosine kinases are presented, and design considerations to de-risk covalent inhibitors with respect to undesirable off-target effects are discussed.

EXPERT OPINION

High selectivity for the intended protein target has emerged as a key consideration in mitigating safety risks associated with widespread proteome reactivity. Powerful chemical proteomics-based techniques are now available to assess selectivity in a drug discovery setting. Optimizing pharmacokinetics to capitalize on the intrinsically high potency of covalent drugs should lead to low daily doses and greater safety margins, while minimizing susceptibility to metabolic activation likewise will attenuate the risk of covalent drug toxicity.

摘要

引言

使用带有弱亲电弹头的高亲和力配体对靶蛋白进行共价抑制,正越来越多地被用作发现新型治疗药物的设计策略,目前已有几种共价药物获得了肿瘤学适应症的监管批准。迄今为止,靶向共价抑制剂的经验已产生了一些设计原则,这些原则是这类日益重要的分子的安全性和有效性的基础。

涵盖领域

本文综述了共价药物方法的现状,强调了与可逆和不可逆结合剂相关的独特益处和伴随风险。介绍了酪氨酸激酶抑制以外的应用领域,并讨论了降低共价抑制剂产生不良脱靶效应风险的设计考量。

专家观点

对预期蛋白质靶点的高选择性已成为减轻与广泛蛋白质组反应性相关安全风险的关键考量因素。基于化学蛋白质组学的强大技术现已可用于在药物发现环境中评估选择性。优化药代动力学以利用共价药物固有的高效能,应能实现低日剂量和更高的安全边际,同时将代谢活化的易感性降至最低同样会降低共价药物毒性风险。

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