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Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial
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 sys...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488338/ https://www.ncbi.nlm.nih.gov/pubmed/33431030 http://dx.doi.org/10.1186/s13321-020-00451-6 |
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author | Bray, Simon A. Senapathi, Tharindu Barnett, Christopher B. Grüning, Björn A. |
author_facet | Bray, Simon A. Senapathi, Tharindu Barnett, Christopher B. Grüning, Björn A. |
author_sort | Bray, Simon A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7488338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-74883382020-09-16 Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial Bray, Simon A. Senapathi, Tharindu Barnett, Christopher B. Grüning, Björn A. J Cheminform Educational 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. Springer International Publishing 2020-09-10 /pmc/articles/PMC7488338/ /pubmed/33431030 http://dx.doi.org/10.1186/s13321-020-00451-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Educational Bray, Simon A. Senapathi, Tharindu Barnett, Christopher B. Grüning, Björn A. Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial |
title | Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial |
title_full | Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial |
title_fullStr | Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial |
title_full_unstemmed | Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial |
title_short | Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial |
title_sort | intuitive, reproducible high-throughput molecular dynamics in galaxy: a tutorial |
topic | Educational |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488338/ https://www.ncbi.nlm.nih.gov/pubmed/33431030 http://dx.doi.org/10.1186/s13321-020-00451-6 |
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