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Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks

We study the behavior of pathogens on host protein networks for humans and Arabidopsis - noting striking similarities. Specifically, we preform [Image: see text]-shell decomposition analysis on these networks - which groups the proteins into various “shells” based on network structure. We observe th...

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Detalles Bibliográficos
Autores principales: Shakarian, Paulo, Wickiser, J. Kenneth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3462034/
https://www.ncbi.nlm.nih.gov/pubmed/23049774
http://dx.doi.org/10.1371/journal.pone.0045154
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author Shakarian, Paulo
Wickiser, J. Kenneth
author_facet Shakarian, Paulo
Wickiser, J. Kenneth
author_sort Shakarian, Paulo
collection PubMed
description We study the behavior of pathogens on host protein networks for humans and Arabidopsis - noting striking similarities. Specifically, we preform [Image: see text]-shell decomposition analysis on these networks - which groups the proteins into various “shells” based on network structure. We observe that shells with a higher average degree are more highly targeted (with a power-law relationship) and that highly targeted nodes lie in shells closer to the inner-core of the network. Additionally, we also note that the inner core of the network is significantly under-targeted. We show that these core proteins may have a role in intra-cellular communication and hypothesize that they are less attacked to ensure survival of the host. This may explain why certain high-degree proteins are not significantly attacked.
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spelling pubmed-34620342012-10-05 Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks Shakarian, Paulo Wickiser, J. Kenneth PLoS One Research Article We study the behavior of pathogens on host protein networks for humans and Arabidopsis - noting striking similarities. Specifically, we preform [Image: see text]-shell decomposition analysis on these networks - which groups the proteins into various “shells” based on network structure. We observe that shells with a higher average degree are more highly targeted (with a power-law relationship) and that highly targeted nodes lie in shells closer to the inner-core of the network. Additionally, we also note that the inner core of the network is significantly under-targeted. We show that these core proteins may have a role in intra-cellular communication and hypothesize that they are less attacked to ensure survival of the host. This may explain why certain high-degree proteins are not significantly attacked. Public Library of Science 2012-09-21 /pmc/articles/PMC3462034/ /pubmed/23049774 http://dx.doi.org/10.1371/journal.pone.0045154 Text en © 2012 This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Shakarian, Paulo
Wickiser, J. Kenneth
Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks
title Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks
title_full Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks
title_fullStr Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks
title_full_unstemmed Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks
title_short Similar Pathogen Targets in Arabidopsis thaliana and Homo sapiens Protein Networks
title_sort similar pathogen targets in arabidopsis thaliana and homo sapiens protein networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3462034/
https://www.ncbi.nlm.nih.gov/pubmed/23049774
http://dx.doi.org/10.1371/journal.pone.0045154
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