UniAMP: enhancing AMP prediction using deep neural networks with inferred information of peptides

UniAMP: enhancing AMP prediction using deep neural networks with inferred information of peptides

Abstract Antimicrobial peptides (AMPs) have been widely recognized as a promising solution to combat antimicrobial resistance of microorganisms due to the increasing abuse of antibiotics in medicine and agriculture around the globe. In this study, we propose UniAMP, a systematic prediction framework...

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Bibliographic Details
Main Authors: Zixin Chen, Chengming Ji, Wenwen Xu, Jianfeng Gao, Ji Huang, Huanliang Xu, Guoliang Qian, Junxian Huang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Bioinformatics
Subjects:
Antimicrobial peptides
Deep learning
Feature extraction
Protein language model
Online Access:https://doi.org/10.1186/s12859-025-06033-3
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https://doi.org/10.1186/s12859-025-06033-3

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