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Retrosynthetic design of metabolic pathways to chemicals not found in nature

Author(s)
Lin, Geng-Min; Warden-Rothman, Robert L; Voigt, Christopher A.
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Abstract
Biology produces a universe of chemicals whose precision and complexity is the envy of chemists. Over the last 30 years, the expansive field of metabolic engineering has many successes in optimizing the overproduction of metabolites of industrial interest, including moving natural product pathways to production hosts (e.g., plants to yeast). However, there are stunningly few examples where enzymes are artificially combined to make a chemical that is not found somewhere in nature. Here, we review these efforts and discuss the challenges limiting the construction of such pathways. An analogy is made to the retrosynthesis problem solved in chemistry using algorithmic approaches, recently harnessing artificial intelligence, noting key differences in the needs of the optimization problem. When these issues are addressed, we see a future where chemistry and biology are intertwined in reaction networks that draw on the power of both to build currently unobtainable molecules across consumer, industrial, and defense applications.
Date issued
2019-04
URI
https://hdl.handle.net/1721.1/125854
Department
Massachusetts Institute of Technology. Synthetic Biology Center; Massachusetts Institute of Technology. Department of Biological Engineering
Journal
Current Opinion in Systems Biology
Publisher
Elsevier BV
Citation
Lin, Geng-Min et al. "Retrosynthetic design of metabolic pathways to chemicals not found in nature." Biology 14 (April 2019): 82-107 © 2019 The Authors
Version: Final published version

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