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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2017
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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. |
format | Online Article Text |
id | pubmed-5365231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
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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