Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques

Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques

Abstract Background Antimicrobial peptides are promising tools to fight against ever-growing antibiotic resistance. However, despite many advantages, their toxicity to mammalian cells is a critical obstacle in clinical application and needs to be addressed. Results In this study, by using an up-to-d...

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Bibliographic Details
Main Authors: Hossein Khabbaz, Mohammad Hossein Karimi-Jafari, Ali Akbar Saboury, Bagher BabaAli
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Bioinformatics
Subjects:
Antimicrobial peptides
Peptide toxicity
Machine learning
Physico-chemical properties
Online Access:https://doi.org/10.1186/s12859-021-04468-y

Internet

https://doi.org/10.1186/s12859-021-04468-y

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