Enhanced prediction of hemolytic activity in antimicrobial peptides using deep learning-based sequence analysis

Enhanced prediction of hemolytic activity in antimicrobial peptides using deep learning-based sequence analysis

Abstract Antimicrobial peptides (AMPs) are a promising class of antimicrobial drugs due to their broad-spectrum activity against microorganisms. However, their clinical application is limited by their potential to cause hemolysis, the destruction of red blood cells. To address this issue, we propose...

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Bibliographic Details
Main Authors: Ibrahim Abdelbaky, Mohamed Elhakeem, Hilal Tayara, Elsayed Badr, Mustafa Abdul Salam
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Bioinformatics
Subjects:
Antimicrobial peptide
Deep learning
Hemolytic activity
Therapeutic peptides
Online Access:https://doi.org/10.1186/s12859-024-05983-4
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https://doi.org/10.1186/s12859-024-05983-4

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