Prediction of Protein Interactions by Structural Matching: Prediction of PPI Networks and the Effects of Mutations on PPIs that Combines Sequence and Structural Information

Date

2017

Author

Tunçbağ, Nurcan
Nussinov, Ruth
Gursoy, Attila

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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.

Subject Keywords

Structural matching, PPI prediction, Mutation mapping, PI network, Structural pathway modeling

URI

https://hdl.handle.net/11511/56483

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Graduate School of Informatics, Book / Book chapter

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Citation Formats

N. Tunçbağ, R. Nussinov, and A. Gursoy, Prediction of Protein Interactions by Structural Matching: Prediction of PPI Networks and the Effects of Mutations on PPIs that Combines Sequence and Structural Information. 2017, p. 270.