What’s new …¶
in eQuilibrator 3.1?¶
A minor version: the thermodynamic data and the Gibbs energy estimates are the same as in 3.0. What changed is how the site looks and works, and what it can do.
A new, cleaner design, which also works on smartphones and tablets.
Gibbs energies update as you change pH, pMg, ionic strength or the concentrations – no more “Update” button.
Interactive plots of the Gibbs energy against pH, pMg and ionic strength.
Compound structures are drawn more clearly, in the form a chemist would expect.
A clearer button for reversing a reaction.
A warning when a reaction looks like it was meant as a half-reaction.
Combustion: the page of any compound that burns links to its complete oxidation by O2, with the energy it releases.
More compounds can be found by name, including some that have no KEGG identifier (e.g. ethane and 1,4-butanediol).
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The analysis now runs in your browser, and the results are interactive plots.
Building a model is about four times faster, shows its progress, and tells you beforehand how long it will take (models are limited to 100 reactions; for larger ones, use equilibrator-api).
Enzyme Cost Minimization models now come with estimates of the kinetic parameters (from ENKIE) and of the enzyme masses (from UniProt), instead of placeholder values; the same estimates can be downloaded as a table from the Downloads page.
The enzyme cost is reported in kDa.
Many bug fixes, and a faster, more robust server.
in eQuilibrator 3.0?¶
Control of Magnesium ion (pMg).
Concentrations can be given in nM, uM, mM or M.
Plots for pH, pMg, and I show in a popup window rather in a new tab.
More bug fixes.
Major updates to equilibrator-api including a ReadTheDocs page.
in eQuilibrator 2.2?¶
Pathway analysis now supports Enzyme Cost Minimization.
Yet another design refresh.
Long overdue bug fixes.
in eQuilibrator 2.1?¶
The uncertainty of each estimation is now provided. For example, when we write ΔrG’° = -32.1 ± 1.4 [kJ/mol], the 1.4 represents a 95% confidence interval around the estimated Gibbs energy. This change was facilitated by upgrading our software to the more precise Component Contribution method.
A dedicated page for reduction potentials (see for example Oxaloacetate reduction).
Gas, liquid and solid phase for the relevant compounds (e.g. you can use O2(g) and CO2(g) in glucose oxidation).
A fresh design and LOTS of usability upgrades.
Substantially faster search powered by Solr.
Thermodynamic analysis of metabolic pathways using Max-min Driving Force.
A new primer on studying classic metabolic reactions using eQuilibrator.