Structural Genomics Consortium, University of Toronto, Toronto, ON, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.
Structural Genomics Consortium, University of Toronto, Toronto, ON, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.
Methods Enzymol. 2023;690:311-340. doi: 10.1016/bs.mie.2023.06.020. Epub 2023 Jul 21.
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.
邻近诱导药理学是化学生物学和药物发现领域的一个新兴领域,其中小分子诱导两个蛋白质之间的非天然相互作用,导致特定的表型反应。蛋白水解靶向嵌合体(PROTAC)是最成熟的例子,其中 E3 连接酶和靶蛋白的配体被连接起来,以诱导靶蛋白的泛素化和随后的降解。PROTAC 的发现通常依赖于试错法,其中化学处理和连接化学、长度和连接点被系统地改变,希望其中一种组合将产生一种活性分子。新的计算方法和工具被开发出来,试图合理化和加速这个过程,与传统的基于结构的药物设计方法有很大的不同。在这一章中,我们回顾了三种不同的计算机辅助 PROTAC 设计解决方案:MOE、ICM 和 PRosettaC。具体来说,我们描述了预测三元复合物(E3 连接酶-PROTAC-靶蛋白)结构和虚拟筛选 PROTAC 候选物文库的协议。我们还提供了故障排除技巧。理性的 PROTAC 设计仍处于起步阶段。通过向用户和开发人员开放这个空间,我们希望这篇方法文章将有助于该领域急需的进展。