Deep learning-based k(cat) prediction enables improved enzyme-constrained model reconstruction
Journal article, 2022
Author
Feiran Li
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Le Yuan
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Hongzhong Lu
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Gang Li
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Yu Chen
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Martin Engqvist
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Eduard Kerkhoven
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Jens B Nielsen
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
BioInnovation Institute
Nature Catalysis
25201158 (eISSN)
Vol. 5 8 662-672Synthetic microbial consortia-based platform for flavonoids production using synthetic biology (Synbio4Flav)
European Commission (EC) (EC/H2020/814650), 2019-01-01 -- 2023-02-28.
Bioinformatics Services for Data-Driven Design of Cell Factories and Communities (DD-DeCaF)
European Commission (EC) (EC/H2020/686070), 2016-03-01 -- 2020-02-28.
Subject Categories
Biochemistry and Molecular Biology
Bioinformatics (Computational Biology)
Bioinformatics and Systems Biology
DOI
10.1038/s41929-022-00798-z
Related datasets
Supplementary Dataset for Deep learning based k(cat) prediction enables improved enzyme constrained model reconstruction [dataset]
DOI: 10.5281/zenodo.5164209