Systems biotechnology for strain improvement

Various high-throughput experimental techniques are routinely used for generating large amounts of omics data. In parallel, in silico modelling and simulation approaches are being developed for quantitatively analyzing cellular metabolism at the systems level. Thus informative high-throughput analys...

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Bibliographic Details
Published inTrends in biotechnology (Regular ed.) Vol. 23; no. 7; pp. 349 - 358
Main Authors Lee, Sang Yup, Lee, Dong-Yup, Kim, Tae Yong
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.07.2005
Elsevier Science
Elsevier Limited
Subjects
Biological and medical sciences
Biotechnology
Chromatography
Comparative analysis
Deoxyribonucleic acid
DNA
E coli
Enzymes
Experimental design
Experiments
Fundamental and applied biological sciences. Psychology
Gene expression
Genetic engineering
Genome
Genomes
Genomics
Genomics - methods
Industrial Microbiology - methods
Industrial Microbiology - trends
Ligands
Mass spectrometry
Metabolites
Microorganisms
Models, Theoretical
Proteins
Proteomics
Proteomics - methods
Biotechnology
Computer simulation
Review
Metabolism
Systems bioloy
Modeling
Genetically modified microorganism
Optimization
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Summary:Various high-throughput experimental techniques are routinely used for generating large amounts of omics data. In parallel, in silico modelling and simulation approaches are being developed for quantitatively analyzing cellular metabolism at the systems level. Thus informative high-throughput analysis and predictive computational modelling or simulation can be combined to generate new knowledge through iterative modification of an in silico model and experimental design. On the basis of such global cellular information we can design cells that have improved metabolic properties for industrial applications. This article highlights the recent developments in these systems approaches, which we call systems biotechnology, and discusses future prospects.
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ISSN:0167-7799
1879-3096
DOI:10.1016/j.tibtech.2005.05.003