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PTPD: predicting therapeutic peptides by deep learning and word2vec
*: Background In the search for therapeutic peptides for disease treatments, many efforts have been made to identify various functional peptides from large numbers of peptide sequence databases. In this paper, we propose an effective computational model that uses deep learning and word2vec to predic...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728961/ https://www.ncbi.nlm.nih.gov/pubmed/31492094 http://dx.doi.org/10.1186/s12859-019-3006-z |