equilibrator-api 0.4.8b1

Calculation of standard thermodynamic potentials of biochemical reactions.

eQuilibrator - a thermodynamics calculator for biochemical reactions

What is equilibrator-api?

equilibrator-api is a Python package for obtaining estimates of reactions Gibbs energies. It is mainly meant for biologists/bioengineers with basic programming skills that work on metabolism and want to easily add thermodynamic data to their models.

The documentation is browseable online at readthedocs.

If your list of reactions is very short, we recommend trying our website called eQuilibrator before spending the time necessary for learning how to use equilibrator-api.

The main advantages of equilibrator-api are:

• Batch mode: can be used for large reaction datasets (even more than 1000 reactions)
• Does not require a network connection (except during installation and initialization)
• Works with standard compound identifiers (such as ChEBI, KEGG, BiGG and MetaNetX) for more than 500,000 compounds

To access more advanced features, such as adding new compounds that are not among the 500,000 currently in the MetaNetX database, try using our equilibrator-assets package.

Cite us

If you plan to use results from equilibrator-api in a scientific publication, please cite our paper:

M. E. Beber, M. G. Gollub, D. Mozaffari, K. M. Shebek, A. I. Flamholz, R. Milo, and E. Noor, eQuilibrator 3.0: a database solution for thermodynamic constant estimation Nucleic Acids Research (2021), DOI:10.1093/nar/gkab1106

A very simple example

Note that creating a ComponentContribution object for the first time after installation, starts an initialization step which downloads ~1.5 GBytes of data to your computer. It can take more than an hour (depending on the connection speed). Note that the initialization might not work inside a Jupyter notebook environment - in that case you should try running it in a standard python shell first and then run the Jupyter notebook.

from equilibrator_api import ComponentContribution
cc = ComponentContribution()
rxn = cc.parse_reaction_formula("kegg:C00002 + kegg:C00001 = kegg:C00008 + kegg:C00009")
print(f"ΔG'0 = {cc.standard_dg_prime(rxn)}")