Tan Yaw Sing, Spring David R, Abell Chris, Verma Chandra S
Department of Chemistry, University of Cambridge , Lensfield Road, Cambridge CB2 1EW, United Kingdom.
Bioinformatics Institute (A*STAR) , 30 Biopolis Street, #07-01 Matrix, Singapore 138671.
J Chem Theory Comput. 2015 Jul 14;11(7):3199-210. doi: 10.1021/ct5010577. Epub 2015 Jun 22.
A computational ligand-mapping approach to detect protein surface pockets that interact with hydrophobic moieties is presented. In this method, we incorporated benzene molecules into explicit solvent molecular dynamics simulations of various protein targets. The benzene molecules successfully identified the binding locations of hydrophobic hot-spot residues and all-hydrocarbon cross-links from known peptidic ligands. They also unveiled cryptic binding sites that are occluded by side chains and the protein backbone. Our results demonstrate that ligand-mapping molecular dynamics simulations hold immense promise to guide the rational design of peptidic modulators of protein-protein interactions, including that of stapled peptides, which show promise as an exciting new class of cell-penetrating therapeutic molecules.
本文提出了一种计算配体映射方法,用于检测与疏水部分相互作用的蛋白质表面口袋。在该方法中,我们将苯分子纳入各种蛋白质靶点的显式溶剂分子动力学模拟中。苯分子成功识别了来自已知肽类配体的疏水热点残基和全碳交联的结合位置。它们还揭示了被侧链和蛋白质主链遮挡的隐秘结合位点。我们的结果表明,配体映射分子动力学模拟在指导蛋白质-蛋白质相互作用的肽类调节剂的合理设计方面具有巨大潜力,包括订书肽,订书肽有望成为一类令人兴奋的新型细胞穿透治疗分子。