Genetic Variants and Protein-protein Interactions: a Multidimensional Network-centric View
Overview
Affiliations
We review recent progress in the mapping of genetic variants to proteins, in the context of their interactions, as measured from experiments and/or computational predictions. Such variants can impact on the molecular mechanisms underlying an interaction and its stability. We highlight recent work which relies on the effective use of protein-protein interaction networks (PPINs), integrated with 3D structural information, for evaluating disease-associated variants. Furthermore, we discuss how the integration of multiple layers of biological information, in the context of PPINs, can improve the interpretation of genetic variants and inspire new therapeutic strategies.
Naylon S, Richaud A, Zhao G, Bui L, Dufresne C, Wu C RSC Chem Biol. 2024; .
PMID: 39552936 PMC: 11562385. DOI: 10.1039/d4cb00174e.
SENSE-PPI reconstructs interactomes within, across, and between species at the genome scale.
Volzhenin K, Bittner L, Carbone A iScience. 2024; 27(7):110371.
PMID: 39055916 PMC: 11269938. DOI: 10.1016/j.isci.2024.110371.
Interpretation of cancer mutations using a multiscale map of protein systems.
Zheng F, Kelly M, Ramms D, Heintschel M, Tao K, Tutuncuoglu B Science. 2021; 374(6563):eabf3067.
PMID: 34591613 PMC: 9126298. DOI: 10.1126/science.abf3067.
Ding D, Wang M, Wu M, Gan C, Wu P Genet Res (Camb). 2021; 2021:9953783.
PMID: 34456634 PMC: 8371737. DOI: 10.1155/2021/9953783.
Laddach A, Ng J, Fraternali F PLoS Biol. 2021; 19(4):e3001207.
PMID: 33909605 PMC: 8110273. DOI: 10.1371/journal.pbio.3001207.