CL-ACP: a parallel combination of CNN and LSTM anticancer peptide recognition model

CL-ACP: a parallel combination of CNN and LSTM anticancer peptide recognition model

Background: Anticancer peptides are defence substances with innate immune functions that can selectively act on cancer cells without harming normal cells and many studies have been conducted to identify anticancer peptides. In this paper, we introduce the anticancer peptide secondary structures as a...

Full description

Bibliographic Details
Main Authors: Li, H. (Author), Wang, H. (Author), Wang, J. (Author), Zhao, H. (Author), Zhao, J. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
amino acid sequence
Amino Acid Sequence
Anticancer peptide
Antimicrobial peptide
Attention mechanism
Attention mechanisms
Convolutional neural networks
Feature space
Innate immunes
Long short-term memory
Microorganisms
Neural network model
Neural Networks, Computer
Parallel combination
peptide
Peptide recognition
Peptides
Recognition models
Secondary structure
Secondary structures
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items