Deep‐Learning‐Based Approaches for Rational Design of Stapled Peptides With High Antimicrobial Activity and Stability

Deep‐Learning‐Based Approaches for Rational Design of Stapled Peptides With High Antimicrobial Activity and Stability

ABSTRACT Antimicrobial peptides (AMPs) face stability and toxicity challenges in clinical use. Stapled modification enhances their stability and effectiveness, but its application in peptide design is rarely reported. This study built ten prediction models for stapled AMPs using deep and machine lea...

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Bibliographic Details
Main Authors: Ruole Chen, Yuhao You, Yanchao Liu, Xin Sun, Tianyue Ma, Xingzhen Lao, Heng Zheng
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Microbial Biotechnology
Subjects:
antimicrobial activity
antimicrobial peptides
deep learning
haemolytic activity
serum stability
stapled peptides
Online Access:https://doi.org/10.1111/1751-7915.70121
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https://doi.org/10.1111/1751-7915.70121

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