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使用多肽链的UNRES粗粒度模型实现时间平均约束

Implementation of Time-Averaged Restraints with UNRES Coarse-Grained Model of Polypeptide Chains.

作者信息

Co Nguyen Truong, Czaplewski Cezary, Lubecka Emilia A, Liwo Adam

机构信息

Faculty of Chemistry, University of Gdańsk, Fahrenheit Union of Universities, ul. Wita Stwosza 63, 80-308 Gdańsk, Poland.

Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Fahrenheit Union of Universities in Gdańsk, ul. G. Narutowicza 11/12, 80-233 Gdańsk, Poland.

出版信息

J Chem Theory Comput. 2025 Feb 11;21(3):1476-1493. doi: 10.1021/acs.jctc.4c01504. Epub 2025 Jan 24.

Abstract

Time-averaged restraints from nuclear magnetic resonance (NMR) measurements have been implemented in the UNRES coarse-grained model of polypeptide chains in order to develop a tool for data-assisted modeling of the conformational ensembles of multistate proteins, intrinsically disordered proteins (IDPs) and proteins with intrinsically disordered regions (IDRs), many of which are essential in cell biology. A numerically stable variant of molecular dynamics with time-averaged restraints has been introduced, in which the total energy is conserved in sections of a trajectory in microcanonical runs, the bath temperature is maintained in canonical runs, and the time-average-restraint-force components are scaled up with the length of the memory window so that the restraints affect the simulated structures. The new approach restores the conformational ensembles used to generate ensemble-averaged distances, as demonstrated with synthetic restraints. The approach results in a better fitting of the ensemble-averaged interproton distances to those determined experimentally for multistate proteins and proteins with intrinsically disordered regions, which puts it at an advantage over all-atom approaches with regard to the determination of the conformational ensembles of proteins with diffuse structures, owing to a faster and more robust conformational search.

摘要

为了开发一种用于多状态蛋白质、内在无序蛋白质(IDP)和具有内在无序区域(IDR)的蛋白质构象集合数据辅助建模的工具,核磁共振(NMR)测量得到的时间平均约束已被应用于多肽链的UNRES粗粒度模型中,其中许多蛋白质在细胞生物学中至关重要。引入了一种具有时间平均约束的分子动力学数值稳定变体,在微正则运行中,轨迹的各部分总能量守恒,在正则运行中,保持浴温,并且时间平均约束力分量随记忆窗口的长度按比例放大,以便约束影响模拟结构。如合成约束所示,新方法恢复了用于生成集合平均距离的构象集合。该方法能使集合平均质子间距离更好地拟合多状态蛋白质和具有内在无序区域的蛋白质的实验测定值,由于构象搜索更快、更稳健,在确定具有弥散结构的蛋白质的构象集合方面比全原子方法更具优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2600/11823420/8e8fe9b86b83/ct4c01504_0001.jpg

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