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Mitigating biomass composition uncertainties in flux balance analysis using ensemble representations

Mitigating biomass composition uncertainties in flux balance analysis using ensemble representations

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2231152508

Mitigating biomass composition uncertainties in flux balance analysis using ensemble representations

About this item

Full title

Mitigating biomass composition uncertainties in flux balance analysis using ensemble representations

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2022-03

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

The biomass equation is a critical component in genome-scale metabolic models (GEMs): it is used as the de facto objective function in flux balance analysis (FBA). This equation accounts for the quantities of all known biomass precursors that are required for cell growth based on the macromolecular and monomer compositions measured at certain condi...

Alternative Titles

Full title

Mitigating biomass composition uncertainties in flux balance analysis using ensemble representations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2231152508

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2231152508

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/652040