Comprehensive Insights into Metabolic Pathways: Genome-Scale Modeling Techniques
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Advances in Metabolomics".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 116
Special Issue Editor
Interests: metabolic modeling; neurodegenerative diseases; toxicology; multi-omics analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue, entitled “Comprehensive Insights into Metabolic Pathways: Genome-Scale Modeling Techniques”, seeks to explore the cutting-edge developments and applications of genome-scale metabolic models (GEMs) and related techniques in understanding complex biological systems. With the rapid advancement of high-throughput omics technologies, GEMs have emerged as powerful tools for mapping and simulating the intricate networks of metabolic pathways across various organisms. This Special Issue invites researchers to submit original research, reviews, and case studies that highlight innovative approaches to genome-scale modeling, including the integration of multi-omics data, machine learning techniques, and novel algorithms. This Special Issue will focus on the integration of the computational biology, systems biology, and bioinformatics fields along with experimental data to analyze and predict the behavior of complex metabolic systems at the cellular level.
Studies exploring innovative methodologies in genome-scale modeling, including constraint-based models, flux balance analysis, and integration with multi-omics data offering novel insights into applications in health, disease, and biotechnology are highly welcomed. This Special Issue aims to showcase how these techniques can be used to understand metabolic regulation, identify potential drug targets, and optimize metabolic engineering efforts. Researchers are invited to contribute original research, reviews, and case studies that advance the understanding of metabolic pathways through the lens of genome-scale modeling.
Dr. Priyanka Baloni
Guest Editor
Manuscript Submission Information
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Keywords
- metabolism
- systems biology
- genome-scale metabolic modeling
- multi-omics data
- data integration
- data analysis
- metabolic regulation
- biomarker
- drug targets
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