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- Title
Predicting protein--protein interactions from primary structure.
- Authors
Bock, J R; Gough, D A
- Abstract
An ambitious goal of proteomics is to elucidate the structure, interactions and functions of all proteins within cells and organisms. The expectation is that this will provide a fuller appreciation of cellular processes and networks at the protein level, ultimately leading to a better understanding of disease mechanisms and suggesting new means for intervention. This paper addresses the question: can protein-protein interactions be predicted directly from primary structure and associated data? Using a diverse database of known protein interactions, a Support Vector Machine (SVM) learning system was trained to recognize and predict interactions based solely on primary structure and associated physicochemical properties.
- Publication
Bioinformatics (Oxford, England), 2001, Vol 17, Issue 5, p455
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/17.5.455