Current Status and Applications of Genome-scale Metabolic Models

Overview

Journal Genome Biol

Specialties Biology
Genetics

Date 2019 Jun 15

PMID 31196170

Citations 280

Authors

Changdai Gu

Gi Bae Kim

Won Jun Kim

Hyun Uk Kim

Sang Yup Lee

Affiliations

Soon will be listed here.

Abstract

Genome-scale metabolic models (GEMs) computationally describe gene-protein-reaction associations for entire metabolic genes in an organism, and can be simulated to predict metabolic fluxes for various systems-level metabolic studies. Since the first GEM for Haemophilus influenzae was reported in 1999, advances have been made to develop and simulate GEMs for an increasing number of organisms across bacteria, archaea, and eukarya. Here, we review current reconstructed GEMs and discuss their applications, including strain development for chemicals and materials production, drug targeting in pathogens, prediction of enzyme functions, pan-reactome analysis, modeling interactions among multiple cells or organisms, and understanding human diseases.

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