What is recorded here?
Used graph-based explanations to prioritize a structural class with antibacterial activity, followed by laboratory and mouse-infection experiments.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The article appeared online in December 2023 and in the February 2024 issue. Preclinical evidence is not clinical approval or proof of effectiveness in humans.
Read the original work
- Discovery of a structural class of antibiotics with explainable deep learning
- Discovery of a structural class of antibiotics with explainable deep learning — deposited bibliography
- Open full paper
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Felix Wong; Erica J. Zheng; Jacqueline A. Valeri; Nina M. Donghia; Melis N. Anahtar; Satotaka Omori; Alicia Li; Andres Cubillos-Ruiz; Aarti Krishnan; Wengong Jin; Abigail L. Manson; Jens Friedrichs; Ralf Helbig; Behnoush Hajian; Dawid K. Fiejtek; Florence F. Wagner; Holly H. Soutter; Ashlee M. Earl; Jonathan M. Stokes; Lars D. Renner; James J. Collins
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
Explainable antibiotic discovery pipeline · MIT-led research collaboration · Chemprop graph neural networks
Activity and toxicity prediction, substructure prioritization; human-led experimental validation. Source-reported attribution; provider attestation is unavailable.
Research locations and affiliations
Documented mapping · Included in country comparison
Documented countries / regions: United States, Germany
The paper lists research affiliations in the United States and Germany. The separately marked Canadian present address is excluded.
English catalogue narrative
Explainable AI identifies an antibiotic structural class
Used graph-based explanations to prioritize a structural class with antibacterial activity, followed by laboratory and mouse-infection experiments.
Scientific scope
The article appeared online in December 2023 and in the February 2024 issue. Preclinical evidence is not clinical approval or proof of effectiveness in humans.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Felix Wong; Erica J. Zheng; Jacqueline A. Valeri; Nina M. Donghia; Melis N. Anahtar; Satotaka Omori; Alicia Li; Andres Cubillos-Ruiz; Aarti Krishnan; Wengong Jin; Abigail L. Manson; Jens Friedrichs; Ralf Helbig; Behnoush Hajian; Dawid K. Fiejtek; Florence F. Wagner; Holly H. Soutter; Ashlee M. Earl; Jonathan M. Stokes; Lars D. Renner; James J. Collins
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
Explainable antibiotic discovery pipeline / MIT-led research collaboration / Chemprop graph neural networks: Activity and toxicity prediction, substructure prioritization; human-led experimental validation (source reported).