Leveraging Advanced In Silico Techniques in Early Drug Discovery: A Study of Potent Small-Molecule YAP-TEAD PPI Disruptors

药效团 虚拟筛选 小分子 药物发现 生物信息学 可药性 计算生物学 对接(动物) 结合位点 蛋白质-蛋白质相互作用 配体(生物化学) 化学 分子动力学 结构生物信息学 结合亲和力 生物 蛋白质结构 立体化学 生物化学 计算化学 医学 基因 受体 护理部
作者
Ernest Awoonor‐Williams,Callum J. Dickson,Pascal Furet,Andrei A. Golosov,Viktor Horn̆ák
出处
期刊:Journal of Chemical Information and Modeling [American Chemical Society]
卷期号:63 (8): 2520-2531 被引量:8
标识
DOI:10.1021/acs.jcim.3c00122
摘要

Disruption of the YAP-TEAD protein–protein interaction is an attractive therapeutic strategy in oncology to suppress tumor progression and cancer metastasis. YAP binds to TEAD at a large flat binding interface (∼3500 Å2) devoid of a well-defined druggable pocket, so it has been difficult to design low-molecular-weight compounds to abrogate this protein–protein interaction directly. Recently, work by Furet and coworkers (ChemMedChem 2022, DOI: 10.1002/cmdc.202200303) reported the discovery of the first class of small molecules able to efficiently disrupt the transcriptional activity of TEAD by binding to a specific interaction site of the YAP-TEAD binding interface. Using high-throughput in silico docking, they identified a virtual screening hit from a hot spot derived from their previously rationally designed peptidic inhibitor. Structure-based drug design efforts led to the optimization of the hit compound into a potent lead candidate. Given advances in rapid high-throughput screening and rational approaches to peptidic ligand discovery for challenging targets, we analyzed the pharmacophore features involved in transferring from the peptidic to small-molecule inhibitor that could enable small-molecule discovery for such targets. Here, we show retrospectively that pharmacophore analysis augmented by solvation analysis of molecular dynamics trajectories can guide the designs, while binding free energy calculations provide greater insight into the binding conformation and energetics accompanying the association event. The computed binding free energy estimates agree well with experimental findings and offer useful insight into structural determinants that influence ligand binding to the TEAD interaction surface, even for such a shallow binding site. Taken together, our results demonstrates the utility of advanced in silico methods in structure-based design efforts for difficult-to-drug targets such as the YAP-TEAD transcription factor complex.
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