Peer-Reviewed Publication
Cell Syst2026;17(2):101533.February 18, 2026Journal Article
Generative AI for synthetic biology: Designing biological parts, circuits, and genomes.
Nayoung Kim1, Giuliano De Carluccio2, Kehan Zhang1, James J Collins3
1Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02215, USA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA.
2Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02215, USA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
3Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02215, USA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: jimjc@mit.edu.
Abstract
Synthetic biology aims to achieve predictable, programmable control over living systems by designing and engineering biological components and functions. Over the past 25 years, the field has advanced from foundational molecular tools to increasingly complex systems-level architectures. A new inflection point has emerged with the integration of generative artificial intelligence (AI), catalyzing a…
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