Liu Dan, Chen Xiaomin, Long Dong
Hefei National Laboratory for Physical Sciences at the Microscale, MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.
Department of Chemistry, University of Science and Technology of China, Hefei 230026, Anhui, China.
J Phys Chem Lett. 2020 May 7;11(9):3642-3646. doi: 10.1021/acs.jpclett.0c00858. Epub 2020 Apr 24.
The lack of apparent pockets in the ground conformation of Ras has long challenged the rational design of inhibitors against this oncogenic protein. The sparsely populated, transiently formed state 1 of activated Ras, on the other hand, shows appreciable surface roughness and is increasingly recognized as a potential target for drug discovery. State 1, however, is extremely flexible, and a static structure cannot fully unveil its conformational space that can be exploited for drug design. Here, we present a conformational ensemble of state 1 that was derived using chemical shift-based modeling. The ensemble reveals the intrinsic plasticity of a druggable pocket in state 1 and demonstrates the mechanism of conformational selection for inhibitor recognition. The large set of structural templates in the ensemble, providing a comprehensive description of thermally accessible pocket conformations, is expected to significantly aid the rational design of anti-Ras drugs.
Ras蛋白的天然构象中缺乏明显的口袋结构,长期以来一直对针对这种致癌蛋白的抑制剂的合理设计构成挑战。另一方面,活化Ras的分布稀少、瞬时形成的状态1显示出明显的表面粗糙度,并且越来越被认为是药物发现的潜在靶点。然而,状态1极其灵活,静态结构无法完全揭示其可用于药物设计的构象空间。在此,我们展示了通过基于化学位移的建模得到的状态1的构象集合。该集合揭示了状态1中可成药口袋的内在可塑性,并展示了抑制剂识别的构象选择机制。该集合中的大量结构模板提供了对热可及口袋构象的全面描述,有望显著辅助抗Ras药物的合理设计。