eQuilibrator 3.0: a database solution for thermodynamic constant estimation

被引:98
作者
Beber, Moritz E. [1 ,2 ]
Gollub, Mattia G. [3 ,4 ]
Mozaffari, Dana [3 ,4 ,5 ]
Shebek, Kevin M. [6 ,7 ]
Flamholz, Avi, I [8 ]
Milo, Ron [9 ]
Noor, Elad [9 ]
机构
[1] Tech Univ Denmark, Novo Nordisk Fdn, Ctr Biosustainabil, Kemitorvet, DK-2800 Lyngby, Denmark
[2] Unseen Biometr ApS, Fruebjergvej 3, DK-2100 Copenhagen O, Denmark
[3] Swiss Fed Inst Technol, Dept Biosyst Sci & Engn, CH-4058 Basel, Switzerland
[4] Swiss Fed Inst Technol, SIB Swiss Inst Bioinformat, CH-4058 Basel, Switzerland
[5] Ecole Polytech Fed Lausanne, Inst Chem Sci & Engn, CH-1015 Lausanne, Switzerland
[6] Northwestern Univ, Dept Chem & Biol Engn, Chem Life Proc Inst, Evanston, IL 60208 USA
[7] Northwestern Univ, Ctr Synthet Biol, Evanston, IL 60208 USA
[8] CALTECH, Div Biol & Biol Engn, Pasadena, CA 91125 USA
[9] Weizmann Inst Sci, Dept Plant & Environm Sci, Herzl 234, IL-7610001 Rehovot, Israel
基金
欧盟地平线“2020”; 瑞士国家科学基金会;
关键词
BIOCHEMICAL REACTIONS; TEMPERATURE; PATHWAY; MODELS; PMG; PH;
D O I
10.1093/nar/gkab1106
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:D603 / D609
页数:7
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