Prediction of Protein‐Protein Interactions. Issue 1 (8th December 2017)

• Record Type: Journal Article
• Authors: Kotlyar, Max; Rossos, Andrea E.M.; Jurisica, Igor
• Editors: Bateman, Alex; Pearson, William R.; Stein, Lincoln D.; Stormo, Gary D.; Yates, John R.
• Is Part Of: Current protocols in bioinformatics. Volume 60:Issue 1(2017)
• Page Start: 8.2.1
• Page End: 8.2.14
• Publication Date: 2017-12-08
• Subjects: bioinformatics -- interaction networks -- machine learning -- protein interactions; Bioinformatics -- Laboratory manuals; Nucleotide sequence -- Laboratory manuals; Amino acid sequence -- Laboratory manuals; Base Sequence; Amino Acid Sequence; Computational Biology -- methods; Databases, Genetic; Proteins -- analysis; Sequence Analysis -- methods; Sequence Homology; Amino acid sequence; Bioinformatics; Nucleotide sequence; Laboratory Manuals; Laboratory manuals; 570.285
• DOI: 10.1002/cpbi.38
• Languages: English
• ISSNs: 1934-3396

Abstract

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.