A machine learning method for predicting molecular antimicrobial activity

Abstract In response to the increasing concern over antibiotic resistance and the limitations of traditional methods in antibiotic discovery, we introduce a machine learning-based method named MFAGCN. This method predicts the antimicrobial efficacy of molecules by integrating three types of molecula...

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Bibliographic Details
Main Authors: Bangjiang Lin, Shujie Yan, Bowen Zhen
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-91190-x
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