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Estimating dispensable content in the human interactome

Protein-protein interaction (PPI) networks (interactome networks) have successfully advanced our knowledge of molecular function, disease and evolution. While much progress has been made in quantifying errors and biases in experimental PPI datasets, it remains unknown what fraction of the error-free...

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Autores principales: Ghadie, Mohamed, Xia, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642175/
https://www.ncbi.nlm.nih.gov/pubmed/31324802
http://dx.doi.org/10.1038/s41467-019-11180-2
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author Ghadie, Mohamed
Xia, Yu
author_facet Ghadie, Mohamed
Xia, Yu
author_sort Ghadie, Mohamed
collection PubMed
description Protein-protein interaction (PPI) networks (interactome networks) have successfully advanced our knowledge of molecular function, disease and evolution. While much progress has been made in quantifying errors and biases in experimental PPI datasets, it remains unknown what fraction of the error-free PPIs in the cell are completely dispensable, i.e., effectively neutral upon disruption. Here, we estimate dispensable content in the human interactome by calculating the fractions of PPIs disrupted by neutral and non-neutral mutations. Starting with the human reference interactome determined by experiments, we construct a human structural interactome by building homology-based three-dimensional structural models for PPIs. Next, we map common mutations from healthy individuals as well as Mendelian disease-causing mutations onto the human structural interactome, and perform structure-based calculations of how these mutations perturb the interactome. Using our predicted as well as experimentally-determined interactome perturbation patterns by common and disease mutations, we estimate that <~20% of the human interactome is completely dispensable.
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spelling pubmed-66421752019-07-22 Estimating dispensable content in the human interactome Ghadie, Mohamed Xia, Yu Nat Commun Article Protein-protein interaction (PPI) networks (interactome networks) have successfully advanced our knowledge of molecular function, disease and evolution. While much progress has been made in quantifying errors and biases in experimental PPI datasets, it remains unknown what fraction of the error-free PPIs in the cell are completely dispensable, i.e., effectively neutral upon disruption. Here, we estimate dispensable content in the human interactome by calculating the fractions of PPIs disrupted by neutral and non-neutral mutations. Starting with the human reference interactome determined by experiments, we construct a human structural interactome by building homology-based three-dimensional structural models for PPIs. Next, we map common mutations from healthy individuals as well as Mendelian disease-causing mutations onto the human structural interactome, and perform structure-based calculations of how these mutations perturb the interactome. Using our predicted as well as experimentally-determined interactome perturbation patterns by common and disease mutations, we estimate that <~20% of the human interactome is completely dispensable. Nature Publishing Group UK 2019-07-19 /pmc/articles/PMC6642175/ /pubmed/31324802 http://dx.doi.org/10.1038/s41467-019-11180-2 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
Ghadie, Mohamed
Xia, Yu
Estimating dispensable content in the human interactome
title Estimating dispensable content in the human interactome
title_full Estimating dispensable content in the human interactome
title_fullStr Estimating dispensable content in the human interactome
title_full_unstemmed Estimating dispensable content in the human interactome
title_short Estimating dispensable content in the human interactome
title_sort estimating dispensable content in the human interactome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642175/
https://www.ncbi.nlm.nih.gov/pubmed/31324802
http://dx.doi.org/10.1038/s41467-019-11180-2
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