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FROG analysis ensures the reproducibility of genome scale metabolic models

Raman, Karthik; Kratochvil, Miroslav; Olivier, Brett G.; Konig, Matthias; Sengupta, Pratyay; Baskaran, Dinesh Kumar Kuppa; Nguyen, Tung V N

Genome scale metabolic models (GEMs) and other constraint-based models (CBMs) play a pivotal role in understanding biological phenotypes and advancing research in areas like metabolic engineering, human disease modelling, drug discovery, and personalized medicine. Despite their growing application, a significant challenge remains in ensuring the reproducibility of GEMs, primarily due to inconsistent reporting a...


MEMOTE for standardized genome-scale metabolic model testing

Lieven, Christian; Beber, Moritz E.; Olivier, Brett G.; Bergmann, Frank T.; Ataman, Meric; Babaei, Parizad; Bartell, Jennifer A.; Blank, Lars M.

Reconstructing metabolic reaction networks enables the development of testable hypotheses of an organisms metabolism under different conditions1. State-of-the-art genome-scale metabolic models (GEMs) can include thousands of metabolites and reactions that are assigned to subcellular locations. Geneproteinreaction (GPR) rules and annotations using database information can add meta-information to GEMs. GEMs with ...


Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing

Lieven, Christian; Beber, Moritz E.; Olivier, Brett G.; Bergmann, Frank T.; Ataman, Meric; Babaei, Parizad; Bartell, Jennifer A.; Blank, Lars M.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.


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