故障排除
药物发现
DNA连接酶
计算生物学
泛素连接酶
连接器
计算机科学
蛋白质水解
蛋白质降解
三元络合物
小分子
生物信息学
化学
泛素
生物
生物化学
程序设计语言
DNA
基因
操作系统
酶
作者
Evianne Rovers,Matthieu Schapira
标识
DOI:10.1016/bs.mie.2023.06.020
摘要
Proximity-induced pharmacology is an emerging field in chemical biology and drug discovery where a small molecule induces non-natural interactions between two proteins, leading to specific phenotypic responses. Proteolysis targeting chimeras (PROTACs) are the most mature examples, where ligands for an E3 ligase and a target protein are linked to induce the ubiquitination and subsequent degradation of the target. The discovery of PROTACs typically relies on a trial-and-error approach where chemical handles and linker chemistry, length and attachment points are systematically varied in the hope that one of the combinations will produce an active molecule. Novel computational methods and tools are developed in an attempt to rationalize and accelerate this process and differ significantly from traditional structure-based drug design approaches. In this chapter, we review three different solutions for computer-assisted PROTAC design: MOE, ICM and PRosettaC. Specifically, we describe protocols to predict the structure of ternary complexes (E3 ligase–PROTAC–target protein) and to screen virtually libraries of PROTAC candidates. We also provide troubleshooting tips. Rational PROTAC design is still in its infancy. By opening this space to users and developers, we hope that this methods article will contribute to much needed advancement in the field.
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