ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology.

ABSTRACT:

Background

Flux Balance Analysis (FBA) is a key metabolic modeling method used to simulate cellular metabolism under steady-state conditions. Its simplicity and versatility have led to various strategies incorporating transcriptomic and proteomic data into FBA, successfully predicting flux distribution and phenotypic results. However, despite these advances, the untapped potential lies in leveraging gene-related connections like co-expression patterns for valuable insights.

Results

To fill this gap, we introduce ICON-GEMs, an innovative constraint-based model to incorporate gene co-expression network into the FBA model, facilitating more precise determination of flux distributions and functional pathways. In this study, transcriptomic data from both Escherichia coli and Sacc

SUBMITTER: Paklao T 

PROVIDER: S-EPMC10740312 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature