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A graph kernel approach for alignment-free domain–peptide interaction prediction with an application to human SH3 domains

Motivation: State-of-the-art experimental data for determining binding specificities of peptide recognition modules (PRMs) is obtained by high-throughput approaches like peptide arrays. Most prediction tools applicable to this kind of data are based on an initial multiple alignment of the peptide li...

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Bibliographic Details
Main Authors: Kundu, Kousik, Costa, Fabrizio, Backofen, Rolf
Format: Artigo
Language:Inglês
Published: Oxford University Press 2013
Subjects:
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC3694653/
https://ncbi.nlm.nih.gov/pubmed/23813002
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btt220
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