AI4AMP: An antimicrobial peptide predictor using physicochemical property-based encoding method and deep learning

AI4AMP: An antimicrobial peptide predictor using physicochemical property-based encoding method and deep learning

Antimicrobial peptides (AMPs) are innate immune components that have recently stimulated considerable interest among drug developers due to their potential as antibiotic substitutes. AMPs are notable for their fundamental properties of microbial membrane structural interference and the biomedical ap...

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Bibliographic Details
Main Authors: Chen, S.-H (Author), Cheng, W.-C (Author), Hsu, Z.-R (Author), Lin, C.-Y (Author), Lin, T.-T (Author), Lu, I.-H (Author), Yang, L.-Y (Author)
Format: Article
Language:English
Published: American Society for Microbiology 2021
Subjects:
amino acid sequence
antibacterial activity
Antimicrobial peptide
Article
deep learning
Deep learning
measurement precision
physical chemistry
polypeptide antibiotic agent
prediction
Protein-encoding method
proteome
Real-world data
Web service
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