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Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction

Authors :
Yanjun Qi
William Stafford Noble
Source :
Handbook of Statistical Bioinformatics ISBN: 9783642163449, Handbook of Statistical Bioinformatics
Publication Year :
2011
Publisher :
Springer Berlin Heidelberg, 2011.

Abstract

Most of a cell’s functional processes involve interactions among proteins, and a key challenge in proteomics is to better understand these complex interaction graphs at a systems level. Because of their importance in development and disease, protein-protein interactions (PPIs) have been the subject of intense research in recent years. In addition, a greater understanding of PPIs can be achieved through the detailed investigation of the protein domain interactions which mediate PPIs. In this chapter, we describe recent efforts to predict interactions between proteins and between protein domains. We also describe methods that attempt to use protein interaction data to infer protein function. Protein-protein interactions directly contribute to protein functions, and implications about functions can often be made via PPI studies. These inferences are based on the premise that the function of a protein may be discovered by studying its interaction with one or more proteins of known functions. The second part of this chapter reviews recent computational approaches to predict protein functions from PPI networks.

Details

ISBN :
978-3-642-16344-9
ISBNs :
9783642163449
Database :
OpenAIRE
Journal :
Handbook of Statistical Bioinformatics ISBN: 9783642163449, Handbook of Statistical Bioinformatics
Accession number :
edsair.doi...........d093a8ce3b7f3c324858d8da8fa4a210
Full Text :
https://doi.org/10.1007/978-3-642-16345-6_21