Biomedical Applications of Genome-Scale Metabolic Network Models

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Biological Processes and Systems".

Deadline for manuscript submissions: closed (20 June 2021) | Viewed by 4787

Special Issue Editor


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Guest Editor
Biomedical Engineering School, Carlos III University, Avda Universidad 30, Leganes, 28911 Madrid, Spain
Interests: omic data treatment; biomedicine; bioinformatics; network modeling

Special Issue Information

Dear Colleagues,

Genome-scale metabolic networks are computational models that can describe the associations between genes, proteins (generally enzymes or transcription factors), and metabolic reactions. These models can be used to predict modifications in metabolic networks and, therefore, describe variations in the metabolic fluxes in response to changes in the system surrounding conditions, such as those that happen due to gene mutations, drug action or diet changes. The applications of these models in the biomedical field are enormous and will likely provide a wide basis for the development of better disease diagnose and treatment procedures. The determination of the unknown molecular mechanisms of complex diseases and the prediction of the molecular evolution of drug treatments are some of the many possible applications of genome-scale metabolic network models in biomedicine.

This Special Issue on “Biomedical Applications of Genome-Scale Metabolic Network Models” aims to gather outstanding research and literature reviews that cover this huge field. Topics include but are not limited to the following:

  • Network models that enable drug repurposing
  • Metabolic networks to determine the molecular mechanisms of disease
  • Identification of novel drug targets through network analysis
  • New bioinformatic approaches to study genome-scale metabolic networks
  • Evaluation of the genotype-phenotype relationship in different diseases through computer modeling
  • Tools for prediction of the outcome of certain treatments using network modeling
  • Metabolic network reconstruction for a new organism with biomedical applications

Prof. Dr. Carlos Leon
Guest Editors

Manuscript Submission Information

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Keywords

  • network modeling
  • biomedicine
  • genomics
  • proteomics
  • metabolomics
  • metabolic reconstruction
  • network medicine

Published Papers (1 paper)

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Review

17 pages, 772 KiB  
Review
Regulation of Metabolic Processes by Hydrogen Peroxide Generated by NADPH Oxidases
by María Magdalena Vilchis-Landeros, Deyamira Matuz-Mares and Héctor Vázquez-Meza
Processes 2020, 8(11), 1424; https://doi.org/10.3390/pr8111424 - 09 Nov 2020
Cited by 10 | Viewed by 4362
Abstract
Hydrogen peroxide (H2O2) is an important oxidizing molecule that regulates the metabolisms of aerobic organisms. Redox signaling comprises physiological oxidative stress (eustress), while excessive oxidative stress causes damage to molecules. The main enzymatic generators of H2O2 [...] Read more.
Hydrogen peroxide (H2O2) is an important oxidizing molecule that regulates the metabolisms of aerobic organisms. Redox signaling comprises physiological oxidative stress (eustress), while excessive oxidative stress causes damage to molecules. The main enzymatic generators of H2O2 are nicotinamide adenine dinucleotide phosphate oxidases or NADPH oxidases (NOXs) and mitochondrial respiratory chains, as well as various oxidases. The NOX family is constituted of seven enzyme isoforms that produce a superoxide anion (O2), which can be converted to H2O2 by superoxide dismutase or spontaneously. H2O2 passes through the membranes by some aquaporins (AQPs), known as peroxyporins. It diffuses through cells and tissues to initiate cellular effects, such as proliferation, the recruitment of immune cells, and cell shape changes. Therefore, it has been proposed that H2O2 has the same importance as Ca2+ or adenosine triphosphate (ATP) to act as modulators in signaling and the metabolism. The present overview focuses on the metabolic processes of liver and adipose tissue, regulated by the H2O2 generated by NOXs. Full article
(This article belongs to the Special Issue Biomedical Applications of Genome-Scale Metabolic Network Models)
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