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

Internet

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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