Algorithms and tools for protein–protein interaction networks clustering, with a special focus on population-based stochastic methods | Zendy

Clara Pizzuti | Zendy; Simona E. Rombo | Zendy

Open Access

Algorithms and tools for protein–protein interaction networks clustering, with a special focus on population-based stochastic methods

Author(s) -

Clara Pizzuti,

Simona E. Rombo

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu034

Subject(s) - cluster analysis , pairwise comparison , computer science , focus (optics) , population , class (philosophy) , data mining , machine learning , network topology , theoretical computer science , artificial intelligence , computational biology , biology , physics , demography , sociology , optics , operating system

Protein-protein interaction (PPI) networks are powerful models to represent the pairwise protein interactions of the organisms. Clustering PPI networks can be useful for isolating groups of interacting proteins that participate in the same biological processes or that perform together specific biological functions. Evolutionary orthologies can be inferred this way, as well as functions and properties of yet uncharacterized proteins.

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