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A generative deep learning approach to de novo antibiotic design

Aarti Krishnan, Melis N. Anahtar, Jacqueline A. Valeri, Wengong Jin, Nina M. Donghia, Leif Sieben, Andreas Luttens, Yu Shrike Zhang, Seyed Majed Modaresi, Andrew D Hennes, Jenna C. Fromer, Parijat Bandyopadhyay, Jonathan C. Chen, Danyal Rehman, Ronak Desai, Paige Edwards, Ryan S. Lach, Marie‐Stéphanie Aschtgen, Marion Gaborieau, Massimiliano Gaetani, Samantha G. Palace, Satotaka Omori, Lutete Peguy Khonde, Yurii S. Moroz, Bruce E. Blough, Chunyang Jin, Edmund Loh, Yonatan H. Grad, Amir Ata Saei, Connor W. Coley, Felix Wong, James J. Collins

2025Cell63 citationsDOIOpen Access PDF

Topics & Concepts

BiologyIn silicoAntibioticsNeisseria gonorrhoeaeComputational biologySynthetic biologyStaphylococcus aureusGenerative DesignAntibacterial activityAntimicrobialAntibiotic resistanceGenerative grammarGenerative modelAntimicrobial peptidesMicrobiologyArtificial intelligenceBacteriaGeneticsComputer scienceGeneMaterials scienceComposite materialCompatibility (geochemistry)Computational Drug Discovery MethodsCell Image Analysis TechniquesMicrobial Natural Products and Biosynthesis
A generative deep learning approach to de novo antibiotic design | Litcius