Molecular Engineering of Robustness and Resilience in Enzymatic Reaction Networks
| Autor: | Wilhelm T. S. Huck, Albert S. Y. Wong, Ilia N. Vialshin, Aleksandr A. Pogodaev, Britta Helwig |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
media_common.quotation_subject Nanotechnology 010402 general chemistry 01 natural sciences Biochemistry Catalysis Article Molecular engineering 03 medical and health sciences Colloid and Surface Chemistry Robustness (computer science) Function (engineering) Resilience (network) GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) media_common Chemistry General Chemistry Complex network 0104 chemical sciences Living systems 030104 developmental biology Key (cryptography) Biochemical engineering Biological network Physical Organic Chemistry |
| Zdroj: | Journal of the American Chemical Society, 139, 8146-8151 Journal of the American Chemical Society, 139, 24, pp. 8146-8151 Journal of the American Chemical Society |
| ISSN: | 0002-7863 |
| Popis: | Living systems rely on complex networks of chemical reactions to control the concentrations of molecules in space and time. Despite the enormous complexity in biological networks, it is possible to identify network motifs that lead to functional outputs such as bistability or oscillations. One of the greatest challenges in chemistry is the creation of such functionality from chemical reactions. A key limitation is our lack of understanding of how molecular structure impacts on the dynamics of chemical reaction networks, preventing the design of networks that are robust (i.e., function in a large parameter space) and resilient (i.e., reach their out-of-equilibrium function rapidly). Here we demonstrate that reaction rates of individual reactions in the network can control the dynamics by which the system reaches limit cycle oscillations, thereby gaining information on the key parameters that govern the dynamics of these networks. We envision that these principles will be incorporated into the design of network motifs, enabling chemists to develop “molecular software” to create functional behavior in chemical systems. |
| Databáze: | OpenAIRE |
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