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PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway
Uncovering the signaling architecture in protein-protein interaction (PPI) can certainly benefit the understanding of disease mechanisms and promise to facilitate the therapeutic interventions. Therefore, it is important to reveal the signaling relationship from one protein to another in terms of ac...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392402/ https://www.ncbi.nlm.nih.gov/pubmed/28469669 http://dx.doi.org/10.1155/2017/7024516 |
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author | Wang, Tengjiao Feng, Yanghe Wang, Qi |
author_facet | Wang, Tengjiao Feng, Yanghe Wang, Qi |
author_sort | Wang, Tengjiao |
collection | PubMed |
description | Uncovering the signaling architecture in protein-protein interaction (PPI) can certainly benefit the understanding of disease mechanisms and promise to facilitate the therapeutic interventions. Therefore, it is important to reveal the signaling relationship from one protein to another in terms of activation and inhibition. In this study, we propose a new measurement to characterize the regulation relationship of a PPI pair. By utilizing both Gene Ontology (GO) functional annotation and protein domain information, we developed a tool called Prediction of Activation/Inhibition Regulation Signaling Pathway (PAIRS) that takes protein interaction pairs as input and gives both known and predicted result of the human protein regulation relationship in terms of activation and inhibition. It helps to give prognostic regulation information for further signaling pathway reconstruction. |
format | Online Article Text |
id | pubmed-5392402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-53924022017-05-03 PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway Wang, Tengjiao Feng, Yanghe Wang, Qi Comput Intell Neurosci Research Article Uncovering the signaling architecture in protein-protein interaction (PPI) can certainly benefit the understanding of disease mechanisms and promise to facilitate the therapeutic interventions. Therefore, it is important to reveal the signaling relationship from one protein to another in terms of activation and inhibition. In this study, we propose a new measurement to characterize the regulation relationship of a PPI pair. By utilizing both Gene Ontology (GO) functional annotation and protein domain information, we developed a tool called Prediction of Activation/Inhibition Regulation Signaling Pathway (PAIRS) that takes protein interaction pairs as input and gives both known and predicted result of the human protein regulation relationship in terms of activation and inhibition. It helps to give prognostic regulation information for further signaling pathway reconstruction. Hindawi 2017 2017-04-02 /pmc/articles/PMC5392402/ /pubmed/28469669 http://dx.doi.org/10.1155/2017/7024516 Text en Copyright © 2017 Tengjiao Wang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Tengjiao Feng, Yanghe Wang, Qi PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway |
title | PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway |
title_full | PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway |
title_fullStr | PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway |
title_full_unstemmed | PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway |
title_short | PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway |
title_sort | pairs: prediction of activation/inhibition regulation signaling pathway |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392402/ https://www.ncbi.nlm.nih.gov/pubmed/28469669 http://dx.doi.org/10.1155/2017/7024516 |
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