PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
Open Access
- 20 March 2006
- journal article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 7 (S1) , S3
- https://doi.org/10.1186/1471-2105-7-s1-s3
Abstract
Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples are MHC-peptide complexes in the immune system. Developing computational methods for protein-peptide binding prediction is therefore an important task with applications to vaccine and drug design.Keywords
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