Control Theory for Synthetic Biology: Recent Advances in System Characterization, Control Design, and Controller Implementation for Synthetic Biology
| Autor: | Anandh Swaminathan, Richard M. Murray, Victoria Hsiao |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Regulation of gene expression Computer science Computational biology DNA sequencing 03 medical and health sciences Synthetic biology chemistry.chemical_compound 030104 developmental biology chemistry Control and Systems Engineering Control theory Modeling and Simulation Electrical and Electronic Engineering Control (linguistics) Gene Organism DNA |
| Zdroj: | IEEE Control Systems. 38:32-62 |
| ISSN: | 1941-000X 1066-033X |
| DOI: | 10.1109/mcs.2018.2810459 |
| Popis: | Living organisms are differentiated by their genetic material-millions to billions of DNA bases encoding thousands of genes. These genes are translated into a vast array of proteins, many of which have functions that are still unknown. Previously, it was believed that simply knowing the genetic sequence of an organism would be the key to unlocking all understanding. However, as DNA sequencing technology has become affordable, it has become clear that living cells are governed by complex, multilayered networks of gene regulation that cannot be deduced from sequence alone. Synthetic biology as a field might best be characterized as a learn-by-building approach, in which scientists attempt to engineer molecular pathways that do not exist in nature. In doing so, they test the limits of both natural and engineered organisms. |
| Databáze: | OpenAIRE |
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