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Approaches for accelerating microbial gene function discovery using artificial intelligence.

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Title: Approaches for accelerating microbial gene function discovery using artificial intelligence.
Authors: Palsson BO; Department of Bioengineering, University of California, San Diego, La Jolla,CA, USA.; Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA., Lee SY; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Four), Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea. leesy@kaist.ac.kr.; BioProcess Engineering Research Center and Center for Synthetic Biology, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea. leesy@kaist.ac.kr., Kim GB; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Four), Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.; BioProcess Engineering Research Center and Center for Synthetic Biology, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Source: Nature microbiology [Nat Microbiol] 2026 Feb; Vol. 11 (2), pp. 350-358. Date of Electronic Publication: 2026 Jan 07.
Publication Type: Journal Article; Review
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101674869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2058-5276 (Electronic) Linking ISSN: 20585276 NLM ISO Abbreviation: Nat Microbiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2058-5276
DOI:10.1038/s41564-025-02214-1