Title
Using resource constraints derived from genomic and proteomic data in metabolic network models
Author
Author
Niccolò Totis
KU Leuven
Author
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Abstract
The increasing amount of available high-content data in genomics, proteomics, and metabolomics has significantly improved the predictive power and model accuracy of genome-scale metabolic network models in recent years. We review recent constraint-based modeling approaches that incorporate genomics and proteomics data to form resource allocation models. Different modeling approaches to build resource allocation models and the related enzyme-constrained genome-scale metabolic models are discussed and evaluated with respect to differences regarding model features. In addition, an overview of the data required to construct, simulate and validate models for the different approaches is given, together with a list of relevant databases.
Keywords
Constraint-based modelsResource allocationProteomicsEnzyme-constrained GEMs
Object type
Language
English [eng]
Persistent identifier
https://phaidra.univie.ac.at/o:1543245
Appeared in
Title
Current Opinion in Systems Biology
Volume
29
ISSN
2452-3100
Issued
2022
Publisher
Elsevier BV
Date issued
2022
Access rights
Rights statement
© 2021 The Authors
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