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NNAlign: a platform to construct and evaluate artificial neural network models of receptor–ligand interactions
Peptides are extensively used to characterize functional or (linear) structural aspects of receptor–ligand interactions in biological systems, e.g. SH2, SH3, PDZ peptide-recognition domains, the MHC membrane receptors and enzymes such as kinases and phosphatases. NNAlign is a method for the identifi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570195/ https://www.ncbi.nlm.nih.gov/pubmed/28407117 http://dx.doi.org/10.1093/nar/gkx276 |