Department of Chemistry, School of Chemistry and Chemical Engineering, Hainan University, Haikou City, Hainan Province 570228, PR China.
Key Laboratory for Green Chemical Process of Ministry of Education, Hubei Key Laboratory of Novel Reactor Green Chemical Technology, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan 430205, PR China.
J Chem Theory Comput. 2024 Aug 13;20(15):6904-6916. doi: 10.1021/acs.jctc.4c00573. Epub 2024 Jul 25.
Advancements have been made to dissipative particle dynamics (DPD), a robust coarse-grained (CG) simulation method, to study the folded structures of four miniproteins (1L2Y, 1WN8, 1YRF, and 2I9M) in explicit and implicit solvents. In this endeavor, we aim to establish model parametrization and enhance computational efficiency. Unlike traditional CG models that use empirical force parameters, ex-force parameters (, , , ) of DPD particles constructed for specific research purposes can be obtained from atomistic molecular dynamics simulations. On the other hand, im-force parameters (, , σ) can be derived from ex-DPD simulations, according to the underlying thermodynamic theory. Based on a mapping scheme proposed for the modeling of amino acids, all-atom proteins can be converted into a CG model. Both ex-/im-DPDs are then carried out to investigate the folding pathways of the four mini-proteins. Structural analysis of the RMSDs shows that the im-simulated proteins have greater structural similarity to native proteins than the ex-simulated ones. The constructed CG models achieve a resolution of Angstrom (Å), a level normally associated with atomic models. Additionally, speed tests reveal that im-DPD accelerates the simulation process and significantly improves simulation efficiency.
耗散粒子动力学(DPD)作为一种强大的粗粒化(CG)模拟方法,在显式和隐式溶剂中研究了四个小蛋白(1L2Y、1WN8、1YRF 和 2I9M)的折叠结构方面取得了进展。在这项工作中,我们旨在建立模型参数化并提高计算效率。与使用经验力参数的传统 CG 模型不同,专门为特定研究目的构建的 DPD 粒子的 ex-force 参数(,,,)可以从原子分子动力学模拟中获得。另一方面,im-force 参数(,,σ)可以根据基础热力学理论从 ex-DPD 模拟中推导出来。基于提出的氨基酸建模映射方案,可以将全原子蛋白质转换为 CG 模型。然后进行 ex-/im-DPD 以研究这四个小蛋白的折叠途径。RMSD 的结构分析表明,与 ex-模拟的蛋白质相比,im-模拟的蛋白质与天然蛋白质具有更大的结构相似性。所构建的 CG 模型的分辨率达到埃(Å),通常与原子模型相关联的水平。此外,速度测试表明,im-DPD 加速了模拟过程并显著提高了模拟效率。