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Evaluating E. coli genome‐scale metabolic model accuracy with high‐throughput mutant fitness data

Evaluating E. coli genome‐scale metabolic model accuracy with high‐throughput mutant fitness data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_122617247a714ac792998a63471202da

Evaluating E. coli genome‐scale metabolic model accuracy with high‐throughput mutant fitness data

About this item

Full title

Evaluating E. coli genome‐scale metabolic model accuracy with high‐throughput mutant fitness data

Publisher

England: EMBO Press

Journal title

Molecular systems biology, 2023-12, Vol.19 (12), p.e11566-n/a

Language

English

Formats

Publication information

Publisher

England: EMBO Press

More information

Scope and Contents

Contents

The Escherichia coli genome‐scale metabolic model (GEM) is an exemplar systems biology model for the simulation of cellular metabolism. Experimental validation of model predictions is essential to pinpoint uncertainty and ensure continued development of accurate models. Here, we quantified the accuracy of four subsequent E. coli GEMs using publishe...

Alternative Titles

Full title

Evaluating E. coli genome‐scale metabolic model accuracy with high‐throughput mutant fitness data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_122617247a714ac792998a63471202da

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_122617247a714ac792998a63471202da

Other Identifiers

ISSN

1744-4292

E-ISSN

1744-4292

DOI

10.15252/msb.202311566

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