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About Computational Systems Biology
Computational systems biology aims to understand biological systems by integrating biological data and studying relationships between system components. Henrik Kacser pioneered the field in the 1950s by arguing that biological properties emerge from complex systems and cannot be understood by studying isolated parts. Systems biology uses modeling approaches like metabolic modeling of microbial strains, static models of network connectivity, and quantitative kinetic models incorporating time-dependent behavior to simulate and analyze biological systems.
Detailed Information
Author: | ['М. Болдгэрэл'] |
---|---|
Publication Year: | 2019 |
Pages: | 33 |
Language: | English |
Format: | |
Price: | FREE |
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