Prediction of Linear Cationic Antimicrobial Peptides Active against Gram-Negative and Gram-Positive Bacteria Based on Machine Learning Models

Prediction of Linear Cationic Antimicrobial Peptides Active against Gram-Negative and Gram-Positive Bacteria Based on Machine Learning Models

Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics in order to overcome the growing problems of antibiotic resistance. Computational prediction approaches receive an increasing interest to identify and design the best candidate AMPs prior to the in vit...

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Bibliographic Details
Main Authors: Ümmü Gülsüm Söylemez, Malik Yousef, Zülal Kesmen, Mine Erdem Büyükkiraz, Burcu Bakir-Gungor
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
antimicrobial peptide (AMP)
machine learning
classification model
antimicrobial peptide prediction
antimicrobial activity
physico-chemical properties
Online Access:https://www.mdpi.com/2076-3417/12/7/3631

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