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A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networks

BACKGROUND: In recent years, the use and importance of predicted protein residue-residue contacts has grown considerably with demonstrated applications such as drug design, protein tertiary structure prediction and model quality assessment. Nevertheless, reported accuracies in the range of 25-35% st...

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Detalles Bibliográficos
Autores principales:	Eickholt, Jesse, Cheng, Jianlin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Proceedings
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3850995/ https://www.ncbi.nlm.nih.gov/pubmed/24267585 http://dx.doi.org/10.1186/1471-2105-14-S14-S12

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