Genome-scale metabolic models consistently predict in vitro characteristics of Corynebacterium striatum.

ABSTRACT: Introduction: Genome-scale metabolic models (GEMs) are organism-specific knowledge bases which can be used to unravel pathogenicity or improve production of specific metabolites in biotechnology applications. However, the validity of predictions for bacterial proliferation in in vitro settings is hardly investigated. Methods: The present work combines in silico and in vitro approaches to create and curate strain-specific genome-scale metabolic models of Corynebacterium striatum. Results: We introduce five newly created strain-specific genome-scale metabolic models (GEMs) of high quality, satisfying all contemporary standards and requirements. All these models have been benchmarked using the community standard test suite Metabolic Model Testi

SUBMITTER: Bauerle F 

PROVIDER: S-EPMC10626998 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature