Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

CD-MINE

General information

URL: https://minedatabase.mcs.anl.gov/cdmine
Full name: Chemical Damage - Metabolic In Silico Network Expansion Databases
Description: This database contains spontaneous reactions that occur under physiological conditions curated from literature as well as reactions predicted by generalized reaction rules.
Year founded: 2022
Last update:
Version:
Accessibility:
Accessible
Country/Region: United States

Funding support

  • 1611952
  • 1611711
  • 1153491
  • DE-AC02-06CH11357

Contact information

University/Institution: Argonne National Laboratory
Address: Argonne Natl Lab, 9700 S Cass Ave, Lemont, IL 60439 USA
City: Lemont
Province/State: Illinois
Country/Region: United States
Contact name (PI/Team): Henry, Christopher S.
Contact email (PI/Helpdesk): chenry@anl.gov

Publications

34958914
Chemical-damage MINE: A database of curated and predicted spontaneous metabolic reactions. [PMID: 34958914]
James G Jeffryes, Claudia Lerma-Ortiz, Filipe Liu, Alexey Golubev, Thomas D Niehaus, Mona Elbadawi-Sidhu, Oliver Fiehn, Andrew D Hanson, Keith Ej Tyo, Christopher S Henry

Spontaneous reactions between metabolites are often neglected in favor of emphasizing enzyme-catalyzed chemistry because spontaneous reaction rates are assumed to be insignificant under physiological conditions. However, synthetic biology and engineering efforts can raise natural metabolites' levels or introduce unnatural ones, so that previously innocuous or nonexistent spontaneous reactions become an issue. Problems arise when spontaneous reaction rates exceed the capacity of a platform organism to dispose of toxic or chemically active reaction products. While various reliable sources list competing or toxic enzymatic pathways' side-reactions, no corresponding compilation of spontaneous side-reactions exists, nor is it possible to predict their occurrence. We addressed this deficiency by creating the Chemical Damage (CD)-MINE resource. First, we used literature data to construct a comprehensive database of metabolite reactions that occur spontaneously in physiological conditions. We then leveraged this data to construct 148 reaction rules describing the known spontaneous chemistry in a substrate-generic way. We applied these rules to all compounds in the ModelSEED database, predicting 180,891 spontaneous reactions. The resulting (CD)-MINE is available at https://minedatabase.mcs.anl.gov/cdmine/#/home and through developer tools. We also demonstrate how damage-prone intermediates and end products are widely distributed among metabolic pathways, and how predicting spontaneous chemical damage helps rationalize toxicity and carbon loss using examples from published pathways to commercial products. We explain how analyzing damage-prone areas in metabolism helps design effective engineering strategies. Finally, we use the CD-MINE toolset to predict the formation of the novel damage product N-carbamoyl proline, and present mass spectrometric evidence for its presence in Escherichia coli.

Metab Eng. 2022:69() | 10 Citations (from Europe PMC, 2026-03-28)

Ranking

All databases:
3680/6932 (46.927%)
Pathway:
227/454 (50.22%)
Literature:
318/577 (45.061%)
3680
Total Rank
9
Citations
2.25
z-index

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Record metadata

Created on: 2022-04-23
Curated by:
Lina Ma [2022-06-02]
Pei Liu [2022-05-15]
Pei Liu [2022-05-14]
Pei Liu [2022-04-23]