SH2PepInt 1.0.0 / SH3PepInt 1.0.0
SH2PepInt has been developed to predict binding partners of 51 human SH2 domains. Peptides are restrained to 7 amino acids length, i.e. -2 to +4 amino acids around the pTyr position.
SH3PepInt is an alignment-free, fast and sophisticated graph kernel based tool to predict SH3-peptide interactions. Total 69 built-in models are available for SH3-peptide predictions.
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PLoS One. 2013 May 17;8(5):e62732. doi: 10.1371/journal.pone.0062732. Print 2013.
Semi-supervised prediction of SH2-peptide interactions from imbalanced high-throughput data.
Kundu K1, Costa F, Huber M, Reth M, Backofen R.
Bioinformatics. 2013 Jul 1;29(13):i335-43. doi: 10.1093/bioinformatics/btt220.
A graph kernel approach for alignment-free domain-peptide interaction prediction with an application to human SH3 domains.
Kundu K1, Costa F, Backofen R.