Current status and applications of genome-scale metabolic models

C Gu, GB Kim, WJ Kim, HU Kim, SY Lee - Genome biology, 2019 - Springer
Genome-scale metabolic models (GEMs) computationally describe gene-protein-reaction
associations for entire metabolic genes in an organism, and can be simulated to predict …

Systematic review of gut microbiota and major depression

SG Cheung, AR Goldenthal, AC Uhlemann… - Frontiers in …, 2019 - frontiersin.org
Background: Recently discovered relationships between the gastrointestinal microbiome
and the brain have implications for psychiatric disorders, including major depressive …

A comprehensive metabolic map for production of bio-based chemicals

SY Lee, HU Kim, TU Chae, JS Cho, JW Kim, JH Shin… - Nature …, 2019 - nature.com
Production of industrial chemicals using renewable biomass feedstock is becoming
increasingly important to address limited fossil resources, climate change and other …

Metabolic engineering of Escherichia coli for natural product biosynthesis

D Yang, SY Park, YS Park, H Eun, SY Lee - Trends in Biotechnology, 2020 - cell.com
Natural products are widely employed in our daily lives as food additives, pharmaceuticals,
nutraceuticals, and cosmetic ingredients, among others. However, their supply has often …

RAVEN 2.0: A versatile toolbox for metabolic network reconstruction and a case study on Streptomyces coelicolor

H Wang, S Marcišauskas, BJ Sánchez… - PLoS computational …, 2018 - journals.plos.org
RAVEN is a commonly used MATLAB toolbox for genome-scale metabolic model (GEM)
reconstruction, curation and constraint-based modelling and simulation. Here we present …

[HTML][HTML] Bacteria as an alternate biofactory for carotenoid production: A review of its applications, opportunities and challenges

S Ram, M Mitra, F Shah, SR Tirkey, S Mishra - Journal of Functional Foods, 2020 - Elsevier
Carotenoid has gained a reputation amongst researchers for its robust antioxidant
capabilities. This review reasons the inevitability of carotenoid for a larger role than just …

Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers

JY Ryu, HU Kim, SY Lee - Proceedings of the National …, 2019 - National Acad Sciences
High-quality and high-throughput prediction of enzyme commission (EC) numbers is
essential for accurate understanding of enzyme functions, which have many implications in …

Reconstruction, simulation and analysis of enzyme-constrained metabolic models using GECKO Toolbox 3.0

Y Chen, J Gustafsson, A Tafur Rangel, M Anton… - Nature …, 2024 - nature.com
Genome-scale metabolic models (GEMs) are computational representations that enable
mathematical exploration of metabolic behaviors within cellular and environmental …

A systematic assessment of current genome-scale metabolic reconstruction tools

SN Mendoza, BG Olivier, D Molenaar, B Teusink - Genome biology, 2019 - Springer
Background Several genome-scale metabolic reconstruction software platforms have been
developed and are being continuously updated. These tools have been widely applied to …

Gapseq: informed prediction of bacterial metabolic pathways and reconstruction of accurate metabolic models

J Zimmermann, C Kaleta, S Waschina - Genome biology, 2021 - Springer
Genome-scale metabolic models of microorganisms are powerful frameworks to predict
phenotypes from an organism's genotype. While manual reconstructions are laborious …