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  • 标题:Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial
  • 本地全文:下载
  • 作者:Simon A. Bray ; Tharindu Senapathi ; Christopher B. Barnett
  • 期刊名称:Journal of Cheminformatics
  • 印刷版ISSN:1758-2946
  • 电子版ISSN:1758-2946
  • 出版年度:2020
  • 卷号:12
  • 期号:1
  • 页码:1
  • DOI:10.1186/s13321-020-00451-6
  • 出版社:BioMed Central
  • 摘要: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.
  • 关键词:Galaxy ; Molecular Dynamics ; Reproducible
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