Protein-protein interaction networks: probing disease mechanisms using model systems
Open accessAbstract
Protein-protein interactions (PPIs) and multi-protein complexes perform central roles in the cellular systems of all living organisms. In humans, disruptions of the normal patterns of PPIs and protein complexes can be causative or indicative of a disease state. Recent developments in the biological applications of mass spectrometry (MS)-based proteomics have expanded the horizon for the application of systematic large-scale mapping of physical interactions to probe disease mechanisms. In this review, we examine the application of MS-based approaches for the experimental analysis of PPI networks and protein complexes, focusing on the different model systems (including human cells) used to study the molecular basis of common diseases such as cancer, cardiomyopathies, diabetes, microbial infections, and genetic and neurodegenerative disorders.
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Protein-protein interactions are central to biological processes, and their dysfunction is implicated in the pathogenesis of human diseases, including cancer.
“Protein-protein interactions (PPIs) are central to a variety of biological processes, and their dysfunction is implicated in the pathogenesis of a range of human diseases, including cancer.”
From The design and development of covalent protein-protein interaction inhibitors for cancer treatment (2020) · cites this paper as [10]
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- Authors
- Kuzmanov, U., & Emili, A.
- Affiliations
- University of Toronto (CA)
- Corresponding author
- Emili, Andrew
- ORCID
- Emili, Andrew
- Venue
- Genome Medicine
- Published
- 2013
- Volume
- 5
- Issue
- 4
- Pages
- 37
- ISSN
- 1756-994X (ISSN-L)
- PMC
- PMC3706760
- OpenAlex
- W2108134720
- Cited by
- 197
- References
- 93
- Citations by year
- 2026: 13 · 2025: 29 · 2024: 40 · 2023: 33 · 2022: 23 · 2021: 12 · 2020: 17 · 2019: 8 · 2018: 6 · 2017: 6 · 2016: 1 · 2015: 7 · 2014: 2
- FWCI
- 0.31
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Biotin and Related Studies
- Keywords
- protein-protein interaction, protein-protein interaction network, protein complexes, disease mechanisms, mass spectrometry-based proteomics, cancer, cardiomyopathy, diabetes mellitus, microbial infection, neurodegenerative diseases, genetic disorders, model systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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