This title appears in the Scientific Report :
2011
Please use the identifier:
http://dx.doi.org/10.1016/j.copbio.2011.01.001 in citations.
Mechanistic pathway modeling for industrial biotechnology: challenging but worthwhile
Mechanistic pathway modeling for industrial biotechnology: challenging but worthwhile
Mechanistic (also called kinetic) models quantitatively describe dynamic and steady states of biochemical pathways. They are based on network structure (stoichiometry), regulatory information (enzyme inhibitors and activators) and the corresponding reaction kinetics. Although this approach to unders...
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Personal Name(s): | Wiechert, W. |
---|---|
Noack, S. | |
Contributing Institute: |
Biotechnologie 2; IBT-2 |
Published in: | Current opinion in biotechnology, 22 (2011) S. 604 - 610 |
Imprint: |
Amsterdam [u.a.]
Elsevier Science
2011
|
Physical Description: |
604 - 610 |
DOI: |
10.1016/j.copbio.2011.01.001 |
PubMed ID: |
21353523 |
Document Type: |
Journal Article |
Research Program: |
Systems Biology as a Driver for Industrial Biotechnology Biotechnologie |
Series Title: |
Current Opinion in Biotechnology
22 |
Subject (ZB): | |
Publikationsportal JuSER |
Mechanistic (also called kinetic) models quantitatively describe dynamic and steady states of biochemical pathways. They are based on network structure (stoichiometry), regulatory information (enzyme inhibitors and activators) and the corresponding reaction kinetics. Although this approach to understand and predict the behavior of biochemical networks has now been in use for almost half a century, its experimental foundation has dramatically changed in the data-rich age of systems biology. Large mechanistic models, ranging up to the genome scale, are now being built and lots of data are available to validate and test them. From the broad scope of possible modeling applications, this survey focuses on the recent developments and central problems of metabolic network modeling in the field of bioprocess development for industrial biotechnology. |