Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, 2800 Kongens Lyngby, Denmark.
Unseen Biometrics ApS, Fruebjergvej 3, 2100 København Ø, Denmark.
Nucleic Acids Res. 2022 Jan 7;50(D1):D603-D609. doi: 10.1093/nar/gkab1106.
eQuilibrator (equilibrator.weizmann.ac.il) is a database of biochemical equilibrium constants and Gibbs free energies, originally designed as a web-based interface. While the website now counts around 1,000 distinct monthly users, its design could not accommodate larger compound databases and it lacked a scalable Application Programming Interface (API) for integration into other tools developed by the systems biology community. Here, we report on the recent updates to the database as well as the addition of a new Python-based interface to eQuilibrator that adds many new features such as a 100-fold larger compound database, the ability to add novel compounds, improvements in speed and memory use, and correction for Mg2+ ion concentrations. Moreover, the new interface can compute the covariance matrix of the uncertainty between estimates, for which we show the advantages and describe the application in metabolic modelling. We foresee that these improvements will make thermodynamic modelling more accessible and facilitate the integration of eQuilibrator into other software platforms.
eQuilibrator(equilibrator.weizmann.ac.il)是一个生化平衡常数和吉布斯自由能数据库,最初设计为基于网络的界面。虽然该网站现在拥有大约 1000 名不同的月度用户,但它的设计无法容纳更大的化合物数据库,也缺乏可扩展的应用程序编程接口 (API),无法集成到系统生物学界开发的其他工具中。在这里,我们报告了数据库的最新更新,以及为 eQuilibrator 添加的新的基于 Python 的接口,该接口添加了许多新功能,如 100 倍更大的化合物数据库、添加新化合物的能力、速度和内存使用方面的改进,以及对 Mg2+离子浓度的修正。此外,新接口可以计算估计值之间不确定性的协方差矩阵,我们展示了这些优点,并描述了在代谢建模中的应用。我们预计这些改进将使热力学建模更容易,并促进 eQuilibrator 集成到其他软件平台中。