MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides

MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides

Bioactive peptides are typically small functional peptides with 2–20 amino acid residues and play versatile roles in metabolic and biological processes. Bioactive peptides are multi-functional, so it is vastly challenging to accurately detect all their functions simultaneously. We proposed a convolu...

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Bibliographic Details
Main Authors: You Li, Xueyong Li, Yuewu Liu, Yuhua Yao, Guohua Huang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Pharmaceuticals
Subjects:
bioactive peptide
convolution neural network
deep learning
long short-term memory
multi-label issues
Online Access:https://www.mdpi.com/1424-8247/15/6/707

Internet

https://www.mdpi.com/1424-8247/15/6/707

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