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Protein secondary structure prediction with context convolutional neural network

Protein secondary structure (SS) prediction is important for studying protein structure and function. Both traditional machine learning methods and deep learning neural networks have been utilized and great progress has been achieved in approaching the theoretical limit. Convolutional and recurrent...

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Detalles Bibliográficos
Autores principales:	Long, Shiyang, Tian, Pu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Royal Society of Chemistry 2019
Materias:	Chemistry
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075825/ https://www.ncbi.nlm.nih.gov/pubmed/35540205 http://dx.doi.org/10.1039/c9ra05218f

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