Suppr超能文献

一种基于激发正则模态的分子动力学(MDeNM-EMfit)在冷冻电镜图中进行原子柔性拟合的新策略。

A New Strategy for Atomic Flexible Fitting in Cryo-EM Maps by Molecular Dynamics with Excited Normal Modes (MDeNM-EMfit).

机构信息

Fundacao Oswaldo Cruz, Programa de Computação Científica, Vice-Presidência de Educação, Informação e Comunicação, Av. Brasil 4365, Residência Oficial, Manguinhos, 21040-900 Rio de Janeiro, Brazil.

Sorbonne Université, UMR 7590, CNRS, Museum National d'Histoire Naturelle, Institut de Minéralogie, Physique des Matériaux et Cosmochimie, IMPMC, 4 place Jussieu, 75005 Paris, France.

出版信息

J Chem Inf Model. 2020 May 26;60(5):2419-2423. doi: 10.1021/acs.jcim.9b01148. Epub 2020 Jan 28.

Abstract

Previous studies demonstrated the efficiency of the Molecular Dynamics with excited Normal Modes (MDeNM) method on the characterization of large structural changes at a low computational cost. We present here MDeNM-EMfit, an extension of the original method designed to the flexible fit of structures into cryo-EM maps. Here, instead of a uniform exploration of the collective motions described by normal modes, sampling is directed toward conformations with increased correlations with the experimental map. Future perspectives to improve the accuracy of fitting and speed of calculations are discussed in light of the results.

摘要

先前的研究表明,激发正则模态的分子动力学(MDeNM)方法在以较低的计算成本对大结构变化进行特征描述方面非常有效。我们在此介绍 MDeNM-EMfit,这是对原始方法的扩展,旨在将结构灵活拟合到冷冻电镜图谱中。在这里,不是通过正则模态描述的集体运动的均匀探索,而是对与实验图谱具有更高相关性的构象进行采样。根据结果讨论了提高拟合准确性和计算速度的未来展望。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验