Centrality Analysis of Protein-Protein Interaction Networks Using R.
| Autor: | Muley VY; Independent Researcher, Jijamata Nagar, Hingoli, India. vijay.muley@comunidad.unam.mx.; Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, México. vijay.muley@comunidad.unam.mx. |
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| Jazyk: | angličtina |
| Zdroj: | Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2023; Vol. 2690, pp. 445-456. |
| DOI: | 10.1007/978-1-0716-3327-4_34 |
| Abstrakt: | Proteins are structural and functional components of cells. They interact with each other to drive specific cellular functions. The physical and functional protein interactions are an important feature of cellular organization and regulation. Protein interactions are represented as a network or a graph in which proteins are nodes, and interactions between them are edges. Perturbations in the network affecting essential or central proteins can have pathological consequences. Network or graph theory is a branch of mathematics that provides a conceptual framework to decipher topologically important proteins in the network. These concepts are known as centrality measures. This chapter introduces various centrality metrics and provides a stepwise protocol to quantify protein's strategic positions in the network using an R programming language. (© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.) |
| Databáze: | MEDLINE |
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