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Modelling the Yeast Interactome

The topology behind biological interaction networks has been studied for over a decade. Yet, there is no definite agreement on the theoretical models which best describe protein-protein interaction (PPI) networks. Such models are critical to quantifying the significance of any empirical observation...

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Detalles Bibliográficos
Autores principales: Janjić, Vuk, Sharan, Roded, Pržulj, Nataša
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3940977/
https://www.ncbi.nlm.nih.gov/pubmed/24589662
http://dx.doi.org/10.1038/srep04273
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author Janjić, Vuk
Sharan, Roded
Pržulj, Nataša
author_facet Janjić, Vuk
Sharan, Roded
Pržulj, Nataša
author_sort Janjić, Vuk
collection PubMed
description The topology behind biological interaction networks has been studied for over a decade. Yet, there is no definite agreement on the theoretical models which best describe protein-protein interaction (PPI) networks. Such models are critical to quantifying the significance of any empirical observation regarding those networks. Here, we perform a comprehensive analysis of yeast PPI networks in order to gain insights into their topology and its dependency on interaction-screening technology. We find that: (1) interaction-detection technology has little effect on the topology of PPI networks; (2) topology of these interaction networks differs in organisms with different cellular complexity (human and yeast); (3) clear topological difference is present between PPI networks, their functional sub-modules, and their inter-functional “linkers”; (4) high confidence PPI networks have more “geometrical” topology compared to predicted, incomplete, or noisy PPI networks; and (5) inter-functional “linker” proteins serve as mediators in signal transduction, transport, regulation and organisational cellular processes.
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spelling pubmed-39409772014-03-04 Modelling the Yeast Interactome Janjić, Vuk Sharan, Roded Pržulj, Nataša Sci Rep Article The topology behind biological interaction networks has been studied for over a decade. Yet, there is no definite agreement on the theoretical models which best describe protein-protein interaction (PPI) networks. Such models are critical to quantifying the significance of any empirical observation regarding those networks. Here, we perform a comprehensive analysis of yeast PPI networks in order to gain insights into their topology and its dependency on interaction-screening technology. We find that: (1) interaction-detection technology has little effect on the topology of PPI networks; (2) topology of these interaction networks differs in organisms with different cellular complexity (human and yeast); (3) clear topological difference is present between PPI networks, their functional sub-modules, and their inter-functional “linkers”; (4) high confidence PPI networks have more “geometrical” topology compared to predicted, incomplete, or noisy PPI networks; and (5) inter-functional “linker” proteins serve as mediators in signal transduction, transport, regulation and organisational cellular processes. Nature Publishing Group 2014-03-04 /pmc/articles/PMC3940977/ /pubmed/24589662 http://dx.doi.org/10.1038/srep04273 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Article
Janjić, Vuk
Sharan, Roded
Pržulj, Nataša
Modelling the Yeast Interactome
title Modelling the Yeast Interactome
title_full Modelling the Yeast Interactome
title_fullStr Modelling the Yeast Interactome
title_full_unstemmed Modelling the Yeast Interactome
title_short Modelling the Yeast Interactome
title_sort modelling the yeast interactome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3940977/
https://www.ncbi.nlm.nih.gov/pubmed/24589662
http://dx.doi.org/10.1038/srep04273
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