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systemsDock: a web server for network pharmacology-based prediction and analysis
We present systemsDock, a web server for network pharmacology-based prediction and analysis, which permits docking simulation and molecular pathway map for comprehensive characterization of ligand selectivity and interpretation of ligand action on a complex molecular network. It incorporates an elab...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987901/ https://www.ncbi.nlm.nih.gov/pubmed/27131384 http://dx.doi.org/10.1093/nar/gkw335 |
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author | Hsin, Kun-Yi Matsuoka, Yukiko Asai, Yoshiyuki Kamiyoshi, Kyota Watanabe, Tokiko Kawaoka, Yoshihiro Kitano, Hiroaki |
author_facet | Hsin, Kun-Yi Matsuoka, Yukiko Asai, Yoshiyuki Kamiyoshi, Kyota Watanabe, Tokiko Kawaoka, Yoshihiro Kitano, Hiroaki |
author_sort | Hsin, Kun-Yi |
collection | PubMed |
description | We present systemsDock, a web server for network pharmacology-based prediction and analysis, which permits docking simulation and molecular pathway map for comprehensive characterization of ligand selectivity and interpretation of ligand action on a complex molecular network. It incorporates an elaborately designed scoring function for molecular docking to assess protein–ligand binding potential. For large-scale screening and ease of investigation, systemsDock has a user-friendly GUI interface for molecule preparation, parameter specification and result inspection. Ligand binding potentials against individual proteins can be directly displayed on an uploaded molecular interaction map, allowing users to systemically investigate network-dependent effects of a drug or drug candidate. A case study is given to demonstrate how systemsDock can be used to discover a test compound's multi-target activity. systemsDock is freely accessible at http://systemsdock.unit.oist.jp/. |
format | Online Article Text |
id | pubmed-4987901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49879012016-08-22 systemsDock: a web server for network pharmacology-based prediction and analysis Hsin, Kun-Yi Matsuoka, Yukiko Asai, Yoshiyuki Kamiyoshi, Kyota Watanabe, Tokiko Kawaoka, Yoshihiro Kitano, Hiroaki Nucleic Acids Res Web Server Issue We present systemsDock, a web server for network pharmacology-based prediction and analysis, which permits docking simulation and molecular pathway map for comprehensive characterization of ligand selectivity and interpretation of ligand action on a complex molecular network. It incorporates an elaborately designed scoring function for molecular docking to assess protein–ligand binding potential. For large-scale screening and ease of investigation, systemsDock has a user-friendly GUI interface for molecule preparation, parameter specification and result inspection. Ligand binding potentials against individual proteins can be directly displayed on an uploaded molecular interaction map, allowing users to systemically investigate network-dependent effects of a drug or drug candidate. A case study is given to demonstrate how systemsDock can be used to discover a test compound's multi-target activity. systemsDock is freely accessible at http://systemsdock.unit.oist.jp/. Oxford University Press 2016-07-08 2016-04-29 /pmc/articles/PMC4987901/ /pubmed/27131384 http://dx.doi.org/10.1093/nar/gkw335 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue Hsin, Kun-Yi Matsuoka, Yukiko Asai, Yoshiyuki Kamiyoshi, Kyota Watanabe, Tokiko Kawaoka, Yoshihiro Kitano, Hiroaki systemsDock: a web server for network pharmacology-based prediction and analysis |
title | systemsDock: a web server for network pharmacology-based prediction and analysis |
title_full | systemsDock: a web server for network pharmacology-based prediction and analysis |
title_fullStr | systemsDock: a web server for network pharmacology-based prediction and analysis |
title_full_unstemmed | systemsDock: a web server for network pharmacology-based prediction and analysis |
title_short | systemsDock: a web server for network pharmacology-based prediction and analysis |
title_sort | systemsdock: a web server for network pharmacology-based prediction and analysis |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987901/ https://www.ncbi.nlm.nih.gov/pubmed/27131384 http://dx.doi.org/10.1093/nar/gkw335 |
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