A computational exploration of resilience and evolvability of protein–protein interaction networks

Brennan Klein et al. propose an adapted network resilience measure, the prospective resilience (PR), to explore the resilience of protein–protein interaction networks following addition of new nodes. They apply PR to public datasets and find that resilience of a network is maximized when attachment...

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Autores principales:	Brennan Klein, Ludvig Holmér, Keith M. Smith, Mackenzie M. Johnson, Anshuman Swain, Laura Stolp, Ashley I. Teufel, April S. Kleppe
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/29445a7751234166a604ff210360f209
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spelling	oai:doaj.org-article:29445a7751234166a604ff210360f2092021-12-05T12:08:15ZA computational exploration of resilience and evolvability of protein–protein interaction networks10.1038/s42003-021-02867-82399-3642https://doaj.org/article/29445a7751234166a604ff210360f2092021-12-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02867-8https://doaj.org/toc/2399-3642Brennan Klein et al. propose an adapted network resilience measure, the prospective resilience (PR), to explore the resilience of protein–protein interaction networks following addition of new nodes. They apply PR to public datasets and find that resilience of a network is maximized when attachment of new nodes, or proteins, is based on the gene expression levels of the existing proteins in the network.Brennan KleinLudvig HolmérKeith M. SmithMackenzie M. JohnsonAnshuman SwainLaura StolpAshley I. TeufelApril S. KleppeNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Brennan Klein Ludvig Holmér Keith M. Smith Mackenzie M. Johnson Anshuman Swain Laura Stolp Ashley I. Teufel April S. Kleppe A computational exploration of resilience and evolvability of protein–protein interaction networks
description	Brennan Klein et al. propose an adapted network resilience measure, the prospective resilience (PR), to explore the resilience of protein–protein interaction networks following addition of new nodes. They apply PR to public datasets and find that resilience of a network is maximized when attachment of new nodes, or proteins, is based on the gene expression levels of the existing proteins in the network.
format	article
author	Brennan Klein Ludvig Holmér Keith M. Smith Mackenzie M. Johnson Anshuman Swain Laura Stolp Ashley I. Teufel April S. Kleppe
author_facet	Brennan Klein Ludvig Holmér Keith M. Smith Mackenzie M. Johnson Anshuman Swain Laura Stolp Ashley I. Teufel April S. Kleppe
author_sort	Brennan Klein
title	A computational exploration of resilience and evolvability of protein–protein interaction networks
title_short	A computational exploration of resilience and evolvability of protein–protein interaction networks
title_full	A computational exploration of resilience and evolvability of protein–protein interaction networks
title_fullStr	A computational exploration of resilience and evolvability of protein–protein interaction networks
title_full_unstemmed	A computational exploration of resilience and evolvability of protein–protein interaction networks
title_sort	computational exploration of resilience and evolvability of protein–protein interaction networks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/29445a7751234166a604ff210360f209
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A computational exploration of resilience and evolvability of protein–protein interaction networks

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