Only time will tell: Modelling the kinetics of covalent inhibitors

IF 7.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY
British Journal of Pharmacology Pub Date : 2026-10-19 Epub Date: 2026-02-12 DOI:10.1111/bph.70373
Madeeha I. Ali, Peter J. Tonge
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引用次数: 0

Abstract

The selection and optimization of drug leads is largely driven by equilibrium parameters such as IC50 values. However, this approach does not account for the time-dependence of drug-target interactions, which is important given that drug and target concentrations fluctuate in the human body. A fundamental understanding of drug-target binding kinetics is particularly important when the formation and breakdown of the drug-target complex is slow compared to the rate of drug elimination and becomes critical when dealing with covalent drugs where the drug is irreversibly bound to the target. The parameters that define covalent inhibition, specifically kinact and KI, can be determined by quantifying target binding as a function of drug concentration and time. However, such assays are difficult to implement in early stages of drug discovery. Here, we review practical approaches to quantify irreversible inhibition, including progress-curve kinetics, multi-timepoint IC50 fitting (EPIC) for scalable library triage, intact- and peptide-level mass spectrometry to confirm adducts and sites, label-free biophysics (SPR, NMR) for orthogonal validation and washout/jump-dilution experiments to diagnose reversibility and measure residence time (τ). We then describe the translation of these microscopic rates to pharmacology through three system determinants: protein turnover, target vulnerability and pharmacokinetics using case studies from BTK, JAK3, KRASG12C and EGFR to illustrate how aligning chemistry with context yields durable efficacy. Finally, we propose reporting standards (IC50 with incubation time; kinact/KI; τ; turnover-driven occupancy) and a kinetics-first design paradigm to replace static potency with mechanism-anchored optimization of covalent inhibitors.

LINKED ARTICLES

This article is part of a themed issue Re-emergence of Covalent Modulation in Drug Discovery. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v183.22/issuetoc

只有时间才能证明:模拟共价抑制剂的动力学。
药物先导物的选择和优化在很大程度上是由IC50值等平衡参数驱动的。然而,这种方法没有考虑到药物-靶标相互作用的时间依赖性,这一点很重要,因为药物和靶标浓度在人体内波动。当药物-靶标复合物的形成和分解比药物消除的速度慢时,对药物-靶标结合动力学的基本理解尤为重要,当药物与靶标不可逆结合的共价药物时,对药物-靶标结合动力学的基本理解变得至关重要。定义共价抑制的参数,特别是kinact和KI,可以通过定量靶结合作为药物浓度和时间的函数来确定。然而,这种检测在药物发现的早期阶段很难实施。在这里,我们回顾了量化不可逆抑制的实用方法,包括进展曲线动力学,用于可扩展文库分类的多时间点IC50拟合(EPIC),用于确认加合物和位点的完整和肽水平质谱,用于正交验证的无标记生物物理学(SPR, NMR)和用于诊断可逆性和测量停留时间(τ)的洗脱/跳跃稀释实验。然后,我们用BTK、JAK3、KRASG12C和EGFR的案例研究,描述了这些微观速率通过三个系统决定因素转化为药理学:蛋白质周转、靶标易损性和药代动力学,以说明如何将化学与环境结合起来产生持久的功效。最后,我们提出了报告标准(IC50与孵育时间、kinact/KI、τ、流失率驱动的占用)和动力学优先的设计范式,以机制锚定的共价抑制剂优化取代静态效价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
15.40
自引率
12.30%
发文量
270
审稿时长
2.0 months
期刊介绍: The British Journal of Pharmacology (BJP) is a biomedical science journal offering comprehensive international coverage of experimental and translational pharmacology. It publishes original research, authoritative reviews, mini reviews, systematic reviews, meta-analyses, databases, letters to the Editor, and commentaries. Review articles, databases, systematic reviews, and meta-analyses are typically commissioned, but unsolicited contributions are also considered, either as standalone papers or part of themed issues. In addition to basic science research, BJP features translational pharmacology research, including proof-of-concept and early mechanistic studies in humans. While it generally does not publish first-in-man phase I studies or phase IIb, III, or IV studies, exceptions may be made under certain circumstances, particularly if results are combined with preclinical studies.
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