Context-Specific Genome-Scale Metabolic Modelling and Its Application to the Analysis of COVID-19 Metabolic Signatures

Genome-scale metabolic models (GEMs) have found numerous applications in different domains, ranging from biotechnology to systems medicine. Herein, we overview the most popular algorithms for the automated reconstruction of context-specific GEMs using high-throughput experimental data. Moreover, we...

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Main Authors: Miha Moškon, Tadeja Režen
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Metabolites
Subjects:
Online Access:https://www.mdpi.com/2218-1989/13/1/126
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author Miha Moškon
Tadeja Režen
author_facet Miha Moškon
Tadeja Režen
author_sort Miha Moškon
collection DOAJ
description Genome-scale metabolic models (GEMs) have found numerous applications in different domains, ranging from biotechnology to systems medicine. Herein, we overview the most popular algorithms for the automated reconstruction of context-specific GEMs using high-throughput experimental data. Moreover, we describe different datasets applied in the process, and protocols that can be used to further automate the model reconstruction and validation. Finally, we describe recent COVID-19 applications of context-specific GEMs, focusing on the analysis of metabolic implications, identification of biomarkers and potential drug targets.
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spelling doaj.art-2e80652899584622b9459c365e5dfe092023-11-30T23:29:21ZengMDPI AGMetabolites2218-19892023-01-0113112610.3390/metabo13010126Context-Specific Genome-Scale Metabolic Modelling and Its Application to the Analysis of COVID-19 Metabolic SignaturesMiha Moškon0Tadeja Režen1Faculty of Computer and Information Science, University of Ljubljana, 1000 Ljubljana, SloveniaCentre for Functional Genomics and Bio-Chips, Institute for Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, SloveniaGenome-scale metabolic models (GEMs) have found numerous applications in different domains, ranging from biotechnology to systems medicine. Herein, we overview the most popular algorithms for the automated reconstruction of context-specific GEMs using high-throughput experimental data. Moreover, we describe different datasets applied in the process, and protocols that can be used to further automate the model reconstruction and validation. Finally, we describe recent COVID-19 applications of context-specific GEMs, focusing on the analysis of metabolic implications, identification of biomarkers and potential drug targets.https://www.mdpi.com/2218-1989/13/1/126context-specific genome scale metabolic modellingconstraint-based modellingomics data integrationmodel extraction methodcomputational pipelinemetabolic fluxes
spellingShingle Miha Moškon
Tadeja Režen
Context-Specific Genome-Scale Metabolic Modelling and Its Application to the Analysis of COVID-19 Metabolic Signatures
Metabolites
context-specific genome scale metabolic modelling
constraint-based modelling
omics data integration
model extraction method
computational pipeline
metabolic fluxes
title Context-Specific Genome-Scale Metabolic Modelling and Its Application to the Analysis of COVID-19 Metabolic Signatures
title_full Context-Specific Genome-Scale Metabolic Modelling and Its Application to the Analysis of COVID-19 Metabolic Signatures
title_fullStr Context-Specific Genome-Scale Metabolic Modelling and Its Application to the Analysis of COVID-19 Metabolic Signatures
title_full_unstemmed Context-Specific Genome-Scale Metabolic Modelling and Its Application to the Analysis of COVID-19 Metabolic Signatures
title_short Context-Specific Genome-Scale Metabolic Modelling and Its Application to the Analysis of COVID-19 Metabolic Signatures
title_sort context specific genome scale metabolic modelling and its application to the analysis of covid 19 metabolic signatures
topic context-specific genome scale metabolic modelling
constraint-based modelling
omics data integration
model extraction method
computational pipeline
metabolic fluxes
url https://www.mdpi.com/2218-1989/13/1/126
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