BioMed Research International

Computational Approaches in Metabolic Engineering


Publishing date
01 Jun 2010
Status
Published
Submission deadline
01 Dec 2009

1Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA

2Department of Chemical Engineering, University of Delaware, Newark, DE, USA

3Department of Biological Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA

4Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA


Computational Approaches in Metabolic Engineering

Description

Organisms can be used to synthesize a wide variety of compounds (such as specialty chemicals, protein therapeutics, small molecule pharmaceuticals and biofuels) with high specificity from a broad range of substrates. Metabolic engineering seeks to optimize the biological production of chemicals by controlling flow through metabolic pathways. This can be achieved through genetic manipulation of the production organism's metabolic or regulatory pathways or by optimizing bioprocessing conditions. Computational models of biological networks can be used to describe metabolic fluxes and/or predict the effects of perturbations (either genetic or environmental) on production. There is a growing interest in using computational tools to help design organisms and bioprocesses that help increasing the production of compounds in biological systems. Computational methods can be used in metabolic engineering applications to guide strain design, evaluate experimental data to suggest further improvements, and design bioprocessing conditions to control production.

The principal focus of this special issue will be on computational approaches in metabolic engineering. We invite authors to submit original research articles and reviews on different topics relating to metabolic engineering, which can range between development of models (e.g., single organism or communities of organisms), methods for strain design, and methods for analysis of experimental datasets (such as gene expression, metabolomic, and proteomic datasets). Potential topics that will be covered include, but are not limited to:

  • Advances in metabolic flux analysis
  • Metabolic network reconstruction methods
  • Regulatory network reconstruction methods
  • Development of metabolic models
  • Development of regulatory models
  • Approaches for analyzing experimental datasets
  • Methods for identifying metabolic engineering strategies
  • Methods for bioprocess modeling

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/jbb/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2010
  • - Article ID 207414
  • - Editorial

Computational Approaches in Metabolic Engineering

Jennifer L. Reed | Ryan S. Senger | ... | Jamey D. Young
  • Special Issue
  • - Volume 2010
  • - Article ID 518743
  • - Research Article

Elementary Mode Analysis for the Rational Design of Efficient Succinate Conversion from Glycerol by Escherichia coli

Zhen Chen | Hongjuan Liu | ... | Dehua Liu
  • Special Issue
  • - Volume 2010
  • - Article ID 621645
  • - Research Article

Dynamic Metabolic Flux Analysis Demonstrated on Cultures Where the Limiting Substrate Is Changed from Carbon to Nitrogen and Vice Versa

Gaspard Lequeux | Joeri Beauprez | ... | Peter A. Vanrolleghem
  • Special Issue
  • - Volume 2010
  • - Article ID 415148
  • - Research Article

Optimal Fluxes, Reaction Replaceability, and Response to Enzymopathies in the Human Red Blood Cell

A. De Martino | D. Granata | ... | V. Van Kerrebroeck
  • Special Issue
  • - Volume 2010
  • - Article ID 642420
  • - Review Article

A Metabolic Model of Human Erythrocytes: Practical Application of the E-Cell Simulation Environment

Ayako Yachie-Kinoshita | Taiko Nishino | ... | Masaru Tomita
  • Special Issue
  • - Volume 2010
  • - Article ID 753904
  • - Review Article

Which Metabolic Pathways Generate and Characterize the Flux Space? A Comparison among Elementary Modes, Extreme Pathways and Minimal Generators

Francisco Llaneras | Jesús Picó
BioMed Research International
 Journal metrics
See full report
Acceptance rate8%
Submission to final decision110 days
Acceptance to publication24 days
CiteScore5.300
Journal Citation Indicator-
Impact Factor-
 Submit Check your manuscript for errors before submitting

We have begun to integrate the 200+ Hindawi journals into Wiley’s journal portfolio. You can find out more about how this benefits our journal communities on our FAQ.