dGbyG Web Server

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Authors: Jie Zhong
Cited by: 0

Abstract

First public release of the dGbyG web server, a graph neural network–based tool for predicting standard Gibbs free energy changes of biochemical reactions and searching thermodynamic properties of reactions in genome-scale metabolic models.

Fields of Study & Subjects

Microbial Metabolic Engineering and Bioproduction Bioinformatics and Genomic Networks thermodynamics and calorimetric analyses

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 March 2026
Language
EN