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. |
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| 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 |
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