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DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction
BACKGROUND: Protein secondary structure (PSS) is critical to further predict the tertiary structure, understand protein function and design drugs. However, experimental techniques of PSS are time consuming and expensive, and thus it’s very urgent to develop efficient computational approaches for pre...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6580607/ https://ncbi.nlm.nih.gov/pubmed/31208331 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2940-0 |
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