Production of biofuels and biochemicals: in need of an ORACLE

The engineering of cells for the production of fuels and chemicals involves simultaneous optimization of multiple objectives, such as specific productivity, extended substrate range and improved tolerance – all under a great degree of uncertainty. The achievement of these objectives under physiologi...

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Bibliographic Details
Published in:Trends in biotechnology (Regular ed.) 2010-08, Vol.28 (8), p.391-397
Main Authors: Miskovic, Ljubisa, Hatzimanikatis, Vassily
Format: Article
Language:English
Subjects:
Bacteria - enzymology
Bacteria - genetics
Bacteria - metabolism
Biochemistry
Biodiesel fuels
Bioengineering
Biofuels
Biological and medical sciences
Biology
Biotechnology
Carbon
Chemicals
Design specifications
Enzyme kinetics
Experiments
Fuels
Fundamental and applied biological sciences. Psychology
Fungi - enzymology
Fungi - genetics
Fungi - metabolism
Genetic engineering
Genomes
Hypotheses
Hypothesis testing
Industrial Microbiology - methods
Internal Medicine
Mathematical models
Metabolic Networks and Pathways
Metabolites
Microorganisms
Optimization
Risk analysis
Risk Assessment - methods
Sensitivity analysis
Strategy
Tolerances
Uncertainty
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Summary:The engineering of cells for the production of fuels and chemicals involves simultaneous optimization of multiple objectives, such as specific productivity, extended substrate range and improved tolerance – all under a great degree of uncertainty. The achievement of these objectives under physiological and process constraints will be impossible without the use of mathematical modeling. However, the limited information and the uncertainty in the available information require new methods for modeling and simulation that will characterize the uncertainty and will quantify, in a statistical sense, the expectations of success of alternative metabolic engineering strategies. We discuss these considerations toward developing a framework for the Optimization and Risk Analysis of Complex Living Entities (ORACLE) – a computational method that integrates available information into a mathematical structure to calculate control coefficients.
ISSN:0167-7799
1879-3096
DOI:10.1016/j.tibtech.2010.05.003