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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society of Chemistry
2019
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| 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 |