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A sparse autoencoder-based deep neural network for protein solvent accessibility and contact number prediction

BACKGROUND: Direct prediction of the three-dimensional (3D) structures of proteins from one-dimensional (1D) sequences is a challenging problem. Significant structural characteristics such as solvent accessibility and contact number are essential for deriving restrains in modeling protein folding an...

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Detalles Bibliográficos
Autores principales:	Deng, Lei, Fan, Chao, Zeng, Zhiwen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751690/ https://www.ncbi.nlm.nih.gov/pubmed/29297299 http://dx.doi.org/10.1186/s12859-017-1971-7

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