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Galaxy中直观、可重复的高通量分子动力学:教程

Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial.

作者信息

Bray Simon A, Senapathi Tharindu, Barnett Christopher B, Grüning Björn A

机构信息

Department of Computer Science, University of Freiburg, Georges-Köhler-Allee 106, Freiburg, Germany.

Department of Chemistry and Scientific Computing Research Unit, University of Cape Town, 7700, Cape Town, South Africa.

出版信息

J Cheminform. 2020 Sep 10;12(1):54. doi: 10.1186/s13321-020-00451-6.

Abstract

This paper is a tutorial developed for the data analysis platform Galaxy. The purpose of Galaxy is to make high-throughput computational data analysis, such as molecular dynamics, a structured, reproducible and transparent process. In this tutorial we focus on 3 questions: How are protein-ligand systems parameterized for molecular dynamics simulation? What kind of analysis can be carried out on molecular trajectories? How can high-throughput MD be used to study multiple ligands? After finishing you will have learned about force-fields and MD parameterization, how to conduct MD simulation and analysis for a protein-ligand system, and understand how different molecular interactions contribute to the binding affinity of ligands to the Hsp90 protein.

摘要

本文是为数据分析平台Galaxy开发的教程。Galaxy的目的是使高通量计算数据分析,如分子动力学,成为一个结构化、可重复和透明的过程。在本教程中,我们关注三个问题:蛋白质-配体系统如何进行分子动力学模拟参数化?对分子轨迹可以进行哪种分析?如何使用高通量分子动力学来研究多个配体?完成后,你将了解力场和分子动力学参数化,如何对蛋白质-配体系统进行分子动力学模拟和分析,并理解不同的分子相互作用如何影响配体与Hsp90蛋白的结合亲和力。

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