Prediction of Protein-Protein Interactions

Max Kotlyar; Andrea E M Rossos; Igor Jurisica

doi:10.1002/cpbi.38

Prediction of Protein-Protein Interactions

Curr Protoc Bioinformatics. 2017 Dec 8:60:8.2.1-8.2.14. doi: 10.1002/cpbi.38.

Authors

Max Kotlyar¹, Andrea E M Rossos¹, Igor Jurisica^{1

2

3}

Affiliations

¹ Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
² Departments of Medical Biophysics and Computer Science, University of Toronto, Ontario, Canada.
³ Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia.

PMID: 29220074
DOI: 10.1002/cpbi.38

Abstract

The authors provide an overview of physical protein-protein interaction prediction, covering the main strategies for predicting interactions, approaches for assessing predictions, and online resources for accessing predictions. This unit focuses on the main advancements in each of these areas over the last decade. The methods and resources that are presented here are not an exhaustive set, but characterize the current state of the field-highlighting key challenges and achievements. © 2017 by John Wiley & Sons, Inc.

Keywords: bioinformatics; interaction networks; machine learning; protein interactions.

Publication types

Review

MeSH terms

Animals
Computational Biology
Genomics
Humans
Machine Learning
Protein Interaction Domains and Motifs
Protein Interaction Mapping / methods
Protein Interaction Mapping / statistics & numerical data
Protein Interaction Maps*