DOE OSTI · 3400867
Artificial intelligence–powered biofoundries for protein engineering and metabolic engineering
Abstract
Synthetic biology is rapidly evolving through the integration of artificial intelligence (AI) and automated biofoundries. This convergence accelerates the design–build–test–learn cycle, shifting protein engineering and metabolic engineering from labor-intensive manual experimentation to autonomous experimentation. This review summarizes recent advances in workflow development, AI models, and their integration with biofoundries for automated or autonomous protein engineering and metabolic engineering. Particularly, we highlight the potential of AI-powered biofoundries for accelerated scientific discovery and innovation in synthetic biology.
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Chen, Junyu [Univ. of Illinois at Urbana-Champaign, IL (United States). Carl R. Woese Institute for Genomic Biology; Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States)], Singh, Nilmani [Univ. of Illinois at Urbana-Champaign, IL (United States). Carl R. Woese Institute for Genomic Biology; Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States); Univ. of Illinois at Urbana-Champaign, IL (United States). NSF iBioFoundry] (ORCID:0000000236847022), Lu, Jingxia [Univ. of Illinois at Urbana-Champaign, IL (United States). Carl R. Woese Institute for Genomic Biology; Univ. of Illinois at Urbana-Champaign, IL (United States). NSF iBioFoundry], Lane, Stephan T. [Univ. of Illinois at Urbana-Champaign, IL (United States). Carl R. Woese Institute for Genomic Biology; Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States); Univ. of Illinois at Urbana-Champaign, IL (United States). NSF iBioFoundry], Zhao, Huimin [Univ. of Illinois at Urbana-Champaign, IL (United States). Carl R. Woese Institute for Genomic Biology; Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States); Univ. of Illinois at Urbana-Champaign, IL (United States). NSF iBioFoundry] (ORCID:0000000290696739). 2025-11-04. Artificial intelligence–powered biofoundries for protein engineering and metabolic engineering. https://doi.org/10.1016/j.copbio.2025.103380
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