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Generative Deep Learning Pipeline Yields Potent Gram-Negative Antibiotics

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 09 Sep 2025 English Publisher:American Chemical Society (ACS)Journal:JACS Au, volume 5, pages 4,249-4,259 (issn: 2691-3704, eissn: 2691-3704, Copyright policy )Funded by:EC | breakingBAC
Authors: Martin F. Köllen; Maximilian G. Schuh; Robin Kretschmer; Joshua Hesse; Dominik Schum; Junhong Chen; Annkathrin I. Bohne; +2 Authors

doi: 10.1021/jacsau.5c00602

Generative Deep Learning Pipeline Yields Potent Gram-Negative Antibiotics

Keywords

Article ; deep learning ; machine learning ; drug discovery ; antibiotics ; Gram-negative ; MRSA ; de novo drug design ; automated synthesis, Article, ddc: ddc:

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold