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NMMD:基于同时正则模式和分子动力学原子位移的高效冷冻电镜柔性拟合

NMMD: Efficient Cryo-EM Flexible Fitting Based on Simultaneous Normal Mode and Molecular Dynamics atomic displacements.

作者信息

Vuillemot Rémi, Miyashita Osamu, Tama Florence, Rouiller Isabelle, Jonic Slavica

机构信息

IMPMC - UMR 7590 CNRS, Sorbonne Université, Muséum National d'Histoire Naturelle, Paris, France; Department of Biochemistry & Pharmacology and Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Victoria, Australia. Electronic address: https://twitter.com/@RemiVuillemot.

RIKEN Center for Computational Science, Japan.

出版信息

J Mol Biol. 2022 Apr 15;434(7):167483. doi: 10.1016/j.jmb.2022.167483. Epub 2022 Feb 9.

DOI:10.1016/j.jmb.2022.167483
PMID:35150654
Abstract

Atomic models of cryo electron microscopy (cryo-EM) maps of biomolecular conformations are often obtained by flexible fitting of the maps with available atomic structures of other conformations (e.g., obtained by X-ray crystallography). This article presents a new flexible fitting method, NMMD, which combines normal mode analysis (NMA) and molecular dynamics simulation (MD). Given an atomic structure and a cryo-EM map to fit, NMMD simultaneously estimates global atomic displacements based on NMA and local displacements based on MD. NMMD was implemented by modifying EMfit, a flexible fitting method using MD only, in GENESIS 1.4. As EMfit, NMMD can be run with replica exchange umbrella sampling procedure. The new method was tested using a variety of EM maps (synthetic and experimental, with different noise levels and resolutions). The results of the tests show that adding normal modes to MD-based fitting makes the fitting faster (40% in average) and, in the majority of cases, more accurate.

摘要

生物分子构象的冷冻电子显微镜(cryo-EM)图谱的原子模型通常是通过将图谱与其他构象的可用原子结构(例如通过X射线晶体学获得的结构)进行灵活拟合得到的。本文提出了一种新的灵活拟合方法NMMD,它结合了简正模式分析(NMA)和分子动力学模拟(MD)。给定一个原子结构和一个要拟合的cryo-EM图谱,NMMD同时基于NMA估计全局原子位移,并基于MD估计局部位移。NMMD是通过在GENESIS 1.4中修改仅使用MD的灵活拟合方法EMfit来实现的。与EMfit一样,NMMD可以使用副本交换伞形采样程序运行。使用各种EM图谱(合成的和实验的,具有不同的噪声水平和分辨率)对新方法进行了测试。测试结果表明,在基于MD的拟合中加入简正模式可以使拟合速度更快(平均快40%),并且在大多数情况下更准确。

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