{"title":"MRTX1133对KRASG12D的抑制机制:分子动力学模拟和马尔可夫状态模型研究","authors":"Fanglin Liang, Zhengzhong Kang, Xianqiang Sun, Jiao Chen, Xuemin Duan, Hu He, Jianxin Cheng","doi":"10.1007/s10822-023-00498-1","DOIUrl":null,"url":null,"abstract":"<div><p>The mutant KRAS was considered as an “undruggable” target for decades, especially KRAS<sup>G12D</sup>. It is a great challenge to develop the inhibitors for KRAS<sup>G12D</sup> which lacks the thiol group for covalently binding ligands. The discovery of MRTX1133 solved the dilemma. Interestingly, MRTX1133 can bind to both the inactive and active states of KRAS<sup>G12D</sup>. The binding mechanism of MRTX1133 with KRAS<sup>G12D</sup>, especially how MRTX1133 could bind the active state KRAS<sup>G12D</sup> without triggering the active function of KRAS<sup>G12D</sup><sub>,</sub> has not been fully understood. Here, we used a combination of all-atom molecular dynamics simulations and Markov state model (MSM) to understand the inhibition mechanism of MRTX1133 and its analogs. The stationary probabilities derived from MSM show that MRTX1133 and its analogs can stabilize the inactive or active states of KRAS<sup>G12D</sup> into different conformations. More remarkably, by scrutinizing the conformational differences, MRTX1133 and its analogs were hydrogen bonded to Gly60 to stabilize the switch II region and left switch I region in a dynamically inactive conformation, thus achieving an inhibitory effect. Our simulation and analysis provide detailed inhibition mechanism of KRAS<sup>G12D</sup> induced by MRTX1133 and its analogs. This study will provide guidance for future design of novel small molecule inhibitors of KRAS<sup>G12D</sup>.</p></div>","PeriodicalId":621,"journal":{"name":"Journal of Computer-Aided Molecular Design","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Inhibition mechanism of MRTX1133 on KRASG12D: a molecular dynamics simulation and Markov state model study\",\"authors\":\"Fanglin Liang, Zhengzhong Kang, Xianqiang Sun, Jiao Chen, Xuemin Duan, Hu He, Jianxin Cheng\",\"doi\":\"10.1007/s10822-023-00498-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The mutant KRAS was considered as an “undruggable” target for decades, especially KRAS<sup>G12D</sup>. It is a great challenge to develop the inhibitors for KRAS<sup>G12D</sup> which lacks the thiol group for covalently binding ligands. The discovery of MRTX1133 solved the dilemma. Interestingly, MRTX1133 can bind to both the inactive and active states of KRAS<sup>G12D</sup>. The binding mechanism of MRTX1133 with KRAS<sup>G12D</sup>, especially how MRTX1133 could bind the active state KRAS<sup>G12D</sup> without triggering the active function of KRAS<sup>G12D</sup><sub>,</sub> has not been fully understood. Here, we used a combination of all-atom molecular dynamics simulations and Markov state model (MSM) to understand the inhibition mechanism of MRTX1133 and its analogs. The stationary probabilities derived from MSM show that MRTX1133 and its analogs can stabilize the inactive or active states of KRAS<sup>G12D</sup> into different conformations. More remarkably, by scrutinizing the conformational differences, MRTX1133 and its analogs were hydrogen bonded to Gly60 to stabilize the switch II region and left switch I region in a dynamically inactive conformation, thus achieving an inhibitory effect. Our simulation and analysis provide detailed inhibition mechanism of KRAS<sup>G12D</sup> induced by MRTX1133 and its analogs. 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引用次数: 1
摘要
几十年来,突变体KRAS被认为是“不可药物”的靶标,尤其是KRASG12D。由于KRASG12D缺乏巯基共价结合配体,因此开发KRASG12D抑制剂是一个巨大的挑战。MRTX1133的发现解决了这个难题。有趣的是,MRTX1133可以结合KRASG12D的非活性和活性状态。MRTX1133与KRASG12D的结合机制,特别是MRTX1133如何结合活性状态KRASG12D而不触发KRASG12D的活性功能,目前尚不完全清楚。本研究采用全原子分子动力学模拟和马尔可夫状态模型(Markov state model, MSM)相结合的方法来了解MRTX1133及其类似物的抑制机制。MSM平稳概率分析表明,MRTX1133及其类似物可以稳定KRASG12D的非活性或活性状态,形成不同的构象。更值得注意的是,通过仔细观察构象差异,MRTX1133及其类似物与Gly60氢键稳定开关II区,使开关I区处于动态非活性构象,从而达到抑制作用。我们的模拟和分析提供了MRTX1133及其类似物诱导KRASG12D的详细抑制机制。本研究将为今后KRASG12D新型小分子抑制剂的设计提供指导。
Inhibition mechanism of MRTX1133 on KRASG12D: a molecular dynamics simulation and Markov state model study
The mutant KRAS was considered as an “undruggable” target for decades, especially KRASG12D. It is a great challenge to develop the inhibitors for KRASG12D which lacks the thiol group for covalently binding ligands. The discovery of MRTX1133 solved the dilemma. Interestingly, MRTX1133 can bind to both the inactive and active states of KRASG12D. The binding mechanism of MRTX1133 with KRASG12D, especially how MRTX1133 could bind the active state KRASG12D without triggering the active function of KRASG12D, has not been fully understood. Here, we used a combination of all-atom molecular dynamics simulations and Markov state model (MSM) to understand the inhibition mechanism of MRTX1133 and its analogs. The stationary probabilities derived from MSM show that MRTX1133 and its analogs can stabilize the inactive or active states of KRASG12D into different conformations. More remarkably, by scrutinizing the conformational differences, MRTX1133 and its analogs were hydrogen bonded to Gly60 to stabilize the switch II region and left switch I region in a dynamically inactive conformation, thus achieving an inhibitory effect. Our simulation and analysis provide detailed inhibition mechanism of KRASG12D induced by MRTX1133 and its analogs. This study will provide guidance for future design of novel small molecule inhibitors of KRASG12D.
期刊介绍:
The Journal of Computer-Aided Molecular Design provides a form for disseminating information on both the theory and the application of computer-based methods in the analysis and design of molecules. The scope of the journal encompasses papers which report new and original research and applications in the following areas:
- theoretical chemistry;
- computational chemistry;
- computer and molecular graphics;
- molecular modeling;
- protein engineering;
- drug design;
- expert systems;
- general structure-property relationships;
- molecular dynamics;
- chemical database development and usage.