Computational Modeling for Metabolic Pathway Engineering
A special issue of Bioengineering (ISSN 2306-5354).
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 1070
Special Issue Editors
Interests: computational systems biology; systems immunology; translational systems biology; drug discovery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Computational modeling of metabolism has a vast scope in bioengineering, synthetic biology, and biotechnology. In the multi-omics era, large-scale genomic information, functional annotations, and activities of RNA, protein, enzymes, and metabolites have facilitated the construction of high-quality metabolic models. These models capture the mechanistic view of genotype–phenotype relationships and enable simulations of physiological states of the cell. In addition, a notable application of computational models in metabolic pathway engineering is to study the cell’s metabolic behaviors under targeted genetic and environmental modifications. Furthermore, modeling results obtained under such modifications can guide experimental strategies for optimizing the production of specific metabolites or chemical compounds of industrial and pharmaceutical interests, including drugs, compounds, and vaccines.
For this Special Issue, we invite authors to submit research and review articles from various computational modeling aspects of metabolic pathway engineering. The topics of interest may cover:
- Construction of computational models of metabolism for metabolic engineering applications;
- Applying metabolic models for the production of metabolites or chemical compounds of particular interest, drugs, and vaccines;
- Using metabolic models for optimizing media composition for improved metabolite yield;
- Development of analysis pipeline for prediction and ranking of potential genetic and environmental modifications for pathway engineering;
- Development of computational algorithms and tools for integration of high-throughput data with computational models.
Dr. Bhanwar Lal Puniya
Dr. Nishikant Wase
Guest Editors
Manuscript Submission Information
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Keywords
- Metabolic modeling
- Genome-scale metabolic models
- Kinetic models
- Biochemical networks
- Systems biology
- Synthetic biology
- Computational modeling and simulation
- Metabolic engineering
- Model guided discovery
- Data-driven modeling
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