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Collective influencers in protein interaction networks

Recent research increasingly shows the relevance of network based approaches for our understanding of biological systems. Analyzing human protein interaction networks, we determined collective influencers (CI), defined as network nodes that damage the integrity of the underlying networks to the utmo...

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Detalles Bibliográficos
Autores principales: Boltz, T. A., Devkota, P., Wuchty, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408499/
https://www.ncbi.nlm.nih.gov/pubmed/30850642
http://dx.doi.org/10.1038/s41598-019-40410-2
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author Boltz, T. A.
Devkota, P.
Wuchty, Stefan
author_facet Boltz, T. A.
Devkota, P.
Wuchty, Stefan
author_sort Boltz, T. A.
collection PubMed
description Recent research increasingly shows the relevance of network based approaches for our understanding of biological systems. Analyzing human protein interaction networks, we determined collective influencers (CI), defined as network nodes that damage the integrity of the underlying networks to the utmost degree. We found that CI proteins were enriched with essential, regulatory, signaling and disease genes as well as drug targets, indicating their biological significance. Also by focusing on different organisms, we found that CI proteins had a penchant to be evolutionarily conserved as CI proteins, indicating the fundamental role that collective influencers in protein interaction networks plays for our understanding of regulation, diseases and evolution.
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spelling pubmed-64084992019-03-12 Collective influencers in protein interaction networks Boltz, T. A. Devkota, P. Wuchty, Stefan Sci Rep Article Recent research increasingly shows the relevance of network based approaches for our understanding of biological systems. Analyzing human protein interaction networks, we determined collective influencers (CI), defined as network nodes that damage the integrity of the underlying networks to the utmost degree. We found that CI proteins were enriched with essential, regulatory, signaling and disease genes as well as drug targets, indicating their biological significance. Also by focusing on different organisms, we found that CI proteins had a penchant to be evolutionarily conserved as CI proteins, indicating the fundamental role that collective influencers in protein interaction networks plays for our understanding of regulation, diseases and evolution. Nature Publishing Group UK 2019-03-08 /pmc/articles/PMC6408499/ /pubmed/30850642 http://dx.doi.org/10.1038/s41598-019-40410-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Boltz, T. A.
Devkota, P.
Wuchty, Stefan
Collective influencers in protein interaction networks
title Collective influencers in protein interaction networks
title_full Collective influencers in protein interaction networks
title_fullStr Collective influencers in protein interaction networks
title_full_unstemmed Collective influencers in protein interaction networks
title_short Collective influencers in protein interaction networks
title_sort collective influencers in protein interaction networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408499/
https://www.ncbi.nlm.nih.gov/pubmed/30850642
http://dx.doi.org/10.1038/s41598-019-40410-2
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