Abstract
Enzyme substrate promiscuity has significant implications for metabolic engineering. The ability to predict the space of possible enzymatic side reactions is crucial for elucidating underground metabolic networks in microorganisms, as well as harnessing novel biosynthetic capabilities of enzymes to produce desired chemicals. Reaction rule-based cheminformatics platforms have been implemented to computationally enumerate possible promiscuous reactions, relying on existing knowledge of enzymatic transformations to inform novel reactions. However, past versions of curated reaction rules have been limited by a lack of comprehensiveness in representing all possible transformations, as well as the need to prune rules to enhance computational efficiency in pathway expansion. To this end, we curated a set of 1224 most generalized reaction rules, automatically abstracted from atom-mapped MetaCyc reactions and verified to uniquely cover all common enzymatic transformations. We developed a framework to systematically identify and correct redundancies and errors in the curation process, resulting in a minimal, yet comprehensive, rule set. These reaction rules were capable of reproducing more than 85% of all reactions in the KEGG and BRENDA databases, for which a large fraction of reactions is not present in MetaCyc. Our rules exceed all previously published rule sets for which reproduction was possible in this coverage analysis, which allows for the exploration of a larger space of known enzymatic transformations. By leveraging the entire knowledge of possible metabolic reactions through generalized enzymatic reaction rules, we are able to better utilize underground metabolic pathways and accelerate novel biosynthetic pathway design to enable bioproduction towards a wider range of new molecules.
Original language | English (US) |
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Pages (from-to) | 79-87 |
Number of pages | 9 |
Journal | Metabolic Engineering |
Volume | 65 |
DOIs | |
State | Published - May 2021 |
Funding
The authors would like to thank Kevin Shebek and Jonathan Strutz for implementing and testing reaction rules on the MINEdatabase, as well as their invaluable insights and helpful conversations. The funding for this study was provided by the U.S. Department of Energy , Office of Science , Office of Biological and Environmental Research under Award Number DE-SC0018249, and partially supported by an Institute of Sustainability and Energy at Northwestern Fellowship (ISEN) and a Department of Energy Computational Science Graduate Fellowship ( DOE CSGF). This research was supported in part through the computational resources and staff contributions provided for the Quest high performance computing facility at Northwestern University which is jointly supported by the Office of the Provost , the Office for Research, and Northwestern University Information Technology.
Keywords
- Cheminformatics
- Enzyme promiscuity
- Novel pathway design
- Reaction network generation
ASJC Scopus subject areas
- Biotechnology
- Bioengineering
- Applied Microbiology and Biotechnology