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Preclinical evidence is not clinical approval or proof of effectiveness in humans.", "domain": "Life & medicine" }, "sources": [ { "citation": "Discovery of a structural class of antibiotics with explainable deep learning", "url": "https://www.nature.com/articles/s41586-023-06887-8" }, { "citation": "Discovery of a structural class of antibiotics with explainable deep learning — deposited bibliography", "url": "https://api.crossref.org/works/10.1038%2Fs41586-023-06887-8" }, { "citation": "Open full paper", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC10866013/" } ], "statement": "# Explainable AI identifies an antibiotic structural class\n\nUsed graph-based explanations to prioritize a structural class with antibacterial activity, followed by laboratory and mouse-infection experiments.\n\n## Scientific scope\n\nThe article appeared online in December 2023 and in the February 2024 issue. Preclinical evidence is not clinical approval or proof of effectiveness in humans.\n\n## Reading status\n\nThis 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.\n\n## People and systems\n\nFelix 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\n\nFull deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.\n\nExplainable antibiotic discovery pipeline / MIT-led research collaboration / Chemprop graph neural networks: Activity and toxicity prediction, substructure prioritization; human-led experimental validation (source reported).\n\n## Original sources\n\n- [Discovery of a structural class of antibiotics with explainable deep learning](https://www.nature.com/articles/s41586-023-06887-8)\n- [Discovery of a structural class of antibiotics with explainable deep learning — deposited bibliography](https://api.crossref.org/works/10.1038%2Fs41586-023-06887-8)\n- [Open full paper](https://pmc.ncbi.nlm.nih.gov/articles/PMC10866013/)\n", "summary": "Used graph-based explanations to prioritize a structural class with antibacterial activity, followed by laboratory and mouse-infection experiments.", "title": "Explainable AI identifies an antibiotic structural class" }, "record_id": "urn:uuid:cf323a95-5f9d-41c3-a02d-e2094a33ba9c", "version": 1, "source_ref": { "record_id": "urn:uuid:cf323a95-5f9d-41c3-a02d-e2094a33ba9c", "version": 1, "content_hash": "sha256:9f9cc3f6e3bffd15a990a76fc4f164fe896275eec4a887287c165c8e082314bb" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:0350ade278a2e9cc8bc23d9c32e688b39670060845167c0def07af9bb600a131" }, "target": { "record_id": "urn:uuid:cf323a95-5f9d-41c3-a02d-e2094a33ba9c", "version": 1, "content_hash": "sha256:9f9cc3f6e3bffd15a990a76fc4f164fe896275eec4a887287c165c8e082314bb" }, "published_grade": { "profile": "wrs-published-grade-1", "edition": "2026-10-28.1", "id": "explainable-antibiotics", "entry_id": "explainable-antibiotics", "revision": 1, "title": "Explainable AI identifies an antibiotic structural class", "context": "Life & medicine", "track": "Scoped scientific or research-capability contribution", "band": "B", "modifier": null, "status": "PROVISIONAL_EDITORIAL", "assessed_on": "2026-09-14", "evidence_cutoff": "2026-09-14", "achievement_state": "SUPPORTED_SCOPED_RESULT", "what_changed": "Used graph-based explanations to prioritize a structural class with antibacterial activity, followed by laboratory and mouse-infection experiments.", "scope": "Used graph-based explanations to prioritize a structural class with antibacterial activity, followed by laboratory and mouse-infection experiments. Scope limitation: 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.", "evidence_summary": "Assessment uses the catalogue-linked source evidence for the stated contribution. The article appeared online in December 2023 and in the February 2024 issue. 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