Prediction of protein interactions by structural matching: Prediction of PPI networks and the effects of mutations on PPIs that combines sequence and structural information

5Citations
Citations of this article
25Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Structural details of protein interactions are invaluable to the understanding of cellular processes. However, the identification of interactions at atomic resolution is a continuing challenge in the systems biology era. Although the number of structurally resolved complexes in the Protein Databank increases exponentially, the complexes only cover a small portion of the known structural interactome. In this chapter, we review the PRISM system that is a protein–protein interaction (PPI) prediction tool—its rationale, principles, and applications. We further discuss its extensions to discover the effect of single residue mutations, to model large protein assemblies, to improve its performance by exploiting conformational protein ensembles, and to reconstruct large PPI networks or pathway maps.

Cite

CITATION STYLE

APA

Tuncbag, N., Keskin, O., Nussinov, R., & Gursoy, A. (2017). Prediction of protein interactions by structural matching: Prediction of PPI networks and the effects of mutations on PPIs that combines sequence and structural information. In Methods in Molecular Biology (Vol. 1558, pp. 255–270). Humana Press Inc. https://doi.org/10.1007/978-1-4939-6783-4_12

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free