Work

Context-specific genome-scale metabolic modelling and its application to the analysis of COVID-19 metabolic signatures

Year: 2024

Type: article

Abstract: 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.

Source: Repository of the University of Ljubljana (University of Ljubljana)

Authors: Moškon, Miha, Režen, Tadeja

Institution: University of Ljubljana

Language: English

Topic: Microbial Metabolic Engineering and Bioproduction

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Javna Agencija za Raziskovalno Dejavnost RS

Awards: Pervasive computing, Functional Genomics and Biotechnology for Health, Role and Applicability of Circular RNAs in Liver Cancer