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Mapping the patent landscape of synthetic biology for fine chemical production pathways
Microbial Biotechnology (2016)
  • Pablo Carbonell, University of Manchester
  • Abdullah Gok, University of Manchester
  • Philip Shapira, University of Manchester; Georgia Institute of Technology
  • Jean-Loup Faulon, University of Manchester
A goal of synthetic biology bio-foundries is to innovate through an iterative design/build/test/learn pipeline. In assessing the value of new chemical production routes, the intellectual property (IP) novelty of the pathway is important. Exploratory studies can be carried using knowledge of the patent/IP landscape for synthetic biology and metabolic engineering. In this paper, we perform an assessment of pathways as potential targets for chemical production across the full catalogue of reachable chemicals in the extended metabolic space of chassis organisms, as computed by the retrosynthesis-based algorithm RetroPath. Our database for reactions processed by sequences in heterologous pathways was screened against the PatSeq database, a comprehensive collection of more than 150M sequences present in patent grants and applications. We also examine related patent families using Derwent Innovations. This large-scale computational study provides useful insights into the IP landscape of synthetic biology for fine and specialty chemicals production.
  • patents,
  • synthetic biology,
  • fine chemicals,
  • patent landscape
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Citation Information
Carbonell, P., Gök, A., Shapira, P., and Faulon, J-L. Mapping the patent landscape of synthetic biology for fine chemical production pathways. Microbial Biotechnology, 2016.
Creative Commons license
Creative Commons License
This work is licensed under a Creative Commons CC_BY International License.