Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hsin, Kun-Yi, Matsuoka, Yukiko, Asai, Yoshiyuki, Kamiyoshi, Kyota, Watanabe, Tokiko, Kawaoka, Yoshihiro, Kitano, Hiroaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
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
_version_ 1782448365633536000
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
work_keys_str_mv AT hsinkunyi systemsdockawebserverfornetworkpharmacologybasedpredictionandanalysis
AT matsuokayukiko systemsdockawebserverfornetworkpharmacologybasedpredictionandanalysis
AT asaiyoshiyuki systemsdockawebserverfornetworkpharmacologybasedpredictionandanalysis
AT kamiyoshikyota systemsdockawebserverfornetworkpharmacologybasedpredictionandanalysis
AT watanabetokiko systemsdockawebserverfornetworkpharmacologybasedpredictionandanalysis
AT kawaokayoshihiro systemsdockawebserverfornetworkpharmacologybasedpredictionandanalysis
AT kitanohiroaki systemsdockawebserverfornetworkpharmacologybasedpredictionandanalysis