Estimating dispensable content in the human interactome.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
19 07 2019
Historique:
received: 03 12 2018
accepted: 21 06 2019
entrez: 21 7 2019
pubmed: 22 7 2019
medline: 18 12 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31324802
doi: 10.1038/s41467-019-11180-2
pii: 10.1038/s41467-019-11180-2
pmc: PMC6642175
doi:

Substances chimiques

Carrier Proteins 0
Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3205

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Auteurs

Mohamed Ghadie (M)

Department of Bioengineering, McGill University, Montreal, QC, Canada.

Yu Xia (Y)

Department of Bioengineering, McGill University, Montreal, QC, Canada. brandon.xia@mcgill.ca.

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Classifications MeSH