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The PathLinker app: Connect the dots in protein interaction networks

PathLinker is a graph-theoretic algorithm for reconstructing the interactions in a signaling pathway of interest. It efficiently computes multiple short paths within a background protein interaction network from the receptors to transcription factors (TFs) in a pathway. We originally developed PathL...

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Detalles Bibliográficos
Autores principales: Gil, Daniel P., Law, Jeffrey N., Murali, T. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5365231/
https://www.ncbi.nlm.nih.gov/pubmed/28413614
http://dx.doi.org/10.12688/f1000research.9909.1
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author Gil, Daniel P.
Law, Jeffrey N.
Murali, T. M.
author_facet Gil, Daniel P.
Law, Jeffrey N.
Murali, T. M.
author_sort Gil, Daniel P.
collection PubMed
description PathLinker is a graph-theoretic algorithm for reconstructing the interactions in a signaling pathway of interest. It efficiently computes multiple short paths within a background protein interaction network from the receptors to transcription factors (TFs) in a pathway. We originally developed PathLinker to complement manual curation of signaling pathways, which is slow and painstaking. The method can be used in general to connect any set of sources to any set of targets in an interaction network. The app presented here makes the PathLinker functionality available to Cytoscape users. We present an example where we used PathLinker to compute and analyze the network of interactions connecting proteins that are perturbed by the drug lovastatin.
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spelling pubmed-53652312017-04-14 The PathLinker app: Connect the dots in protein interaction networks Gil, Daniel P. Law, Jeffrey N. Murali, T. M. F1000Res Software Tool Article PathLinker is a graph-theoretic algorithm for reconstructing the interactions in a signaling pathway of interest. It efficiently computes multiple short paths within a background protein interaction network from the receptors to transcription factors (TFs) in a pathway. We originally developed PathLinker to complement manual curation of signaling pathways, which is slow and painstaking. The method can be used in general to connect any set of sources to any set of targets in an interaction network. The app presented here makes the PathLinker functionality available to Cytoscape users. We present an example where we used PathLinker to compute and analyze the network of interactions connecting proteins that are perturbed by the drug lovastatin. F1000Research 2017-01-20 /pmc/articles/PMC5365231/ /pubmed/28413614 http://dx.doi.org/10.12688/f1000research.9909.1 Text en Copyright: © 2017 Gil DP et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Gil, Daniel P.
Law, Jeffrey N.
Murali, T. M.
The PathLinker app: Connect the dots in protein interaction networks
title The PathLinker app: Connect the dots in protein interaction networks
title_full The PathLinker app: Connect the dots in protein interaction networks
title_fullStr The PathLinker app: Connect the dots in protein interaction networks
title_full_unstemmed The PathLinker app: Connect the dots in protein interaction networks
title_short The PathLinker app: Connect the dots in protein interaction networks
title_sort pathlinker app: connect the dots in protein interaction networks
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5365231/
https://www.ncbi.nlm.nih.gov/pubmed/28413614
http://dx.doi.org/10.12688/f1000research.9909.1
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