Novel Antimicrobials from Computational Modelling and Drug Repositioning: Potential <i>In Silico</i> Strategies to Increase Therapeutic Arsenal Against Antimicrobial Resistance

Novel Antimicrobials from Computational Modelling and Drug Repositioning: Potential <i>In Silico</i> Strategies to Increase Therapeutic Arsenal Against Antimicrobial Resistance

Antimicrobial resistance (AMR) is one of the most significant public health threats today. The need for new antimicrobials against multidrug-resistant infections is growing. The development of computational models capable of predicting new drug–target interactions is an interesting strategy to repos...

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Bibliographic Details
Main Authors: Antonio Tarín-Pelló, Sara Fernández-Álvarez, Beatriz Suay-García, María Teresa Pérez-Gracia
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Molecules
Subjects:
computational models
drug repositioning
antimicrobial resistance
mathematical prediction models
machine learning
deep learning
Online Access:https://www.mdpi.com/1420-3049/30/11/2303
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https://www.mdpi.com/1420-3049/30/11/2303

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