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...

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Detalles Bibliográficos
Autores principales: Wu, Chuanyan, Gao, Rui, Zhang, Yusen, De Marinis, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
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

Internet

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

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