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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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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2013
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| Soggetti: | |
| Accesso online: | 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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