PTPD: predicting therapeutic peptides by deep learning and word2vec

PTPD: predicting therapeutic peptides by deep learning and word2vec

Abstract * 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 t...

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Bibliographic Details
Main Authors: Chuanyan Wu, Rui Gao, Yusen Zhang, Yang De Marinis
Format: Article
Language:English
Published: BMC 2019-09-01
Series:BMC Bioinformatics
Subjects:
Therapeutic peptide
Deep learning
Word2vec
Online Access:http://link.springer.com/article/10.1186/s12859-019-3006-z

Internet

http://link.springer.com/article/10.1186/s12859-019-3006-z

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