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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...

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Detalles Bibliográficos
Autores principales: Wang, Tengjiao, Feng, Yanghe, Wang, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
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.
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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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