Reverse engineering systems models of regulation: discovery, prediction and mechanisms.
| Autor: | Ashworth J; Institute for Systems Biology, Seattle, WA, United States., Wurtmann EJ, Baliga NS |
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| Jazyk: | angličtina |
| Zdroj: | Current opinion in biotechnology [Curr Opin Biotechnol] 2012 Aug; Vol. 23 (4), pp. 598-603. Date of Electronic Publication: 2011 Dec 28. |
| DOI: | 10.1016/j.copbio.2011.12.005 |
| Abstrakt: | Biological systems can now be understood in comprehensive and quantitative detail using systems biology approaches. Putative genome-scale models can be built rapidly based upon biological inventories and strategic system-wide molecular measurements. Current models combine statistical associations, causative abstractions, and known molecular mechanisms to explain and predict quantitative and complex phenotypes. This top-down 'reverse engineering' approach generates useful organism-scale models despite noise and incompleteness in data and knowledge. Here we review and discuss the reverse engineering of biological systems using top-down data-driven approaches, in order to improve discovery, hypothesis generation, and the inference of biological properties. (Copyright © 2011 Elsevier Ltd. All rights reserved.) |
| Databáze: | MEDLINE |
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