Systems biology: simulation of dynamic network states
Biophysical models have been used in biology for decades, but they have been limited in scope and size. In this book, Bernhard Ø. Palsson shows how network reconstructions that are based on genomic and bibliomic data, and take the form of established stoichiometric matrices, can be converted into dy...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2011
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| Links: | https://doi.org/10.1017/CBO9780511736179 |
| Zusammenfassung: | Biophysical models have been used in biology for decades, but they have been limited in scope and size. In this book, Bernhard Ø. Palsson shows how network reconstructions that are based on genomic and bibliomic data, and take the form of established stoichiometric matrices, can be converted into dynamic models using metabolomic and fluxomic data. The Mass Action Stoichiometric Simulation (MASS) procedure can be used for any cellular process for which data is available and allows a scalable step-by-step approach to the practical construction of network models. Specifically, it can treat integrated processes that need explicit accounting of small molecules and protein, which allows simulation at the molecular level. The material has been class-tested by the author at both the undergraduate and graduate level. All computations in the text are available online in MATLAB and MATHEMATICA® workbooks, allowing hands-on practice with the material. |
| Umfang: | 1 Online-Ressource (xiii, 317 Seiten) |
| ISBN: | 9780511736179 |
Internformat
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| spelling | Palsson, Bernhard Systems biology simulation of dynamic network states Bernhard Ø. Palsson Cambridge Cambridge University Press 2011 1 Online-Ressource (xiii, 317 Seiten) txt c cr Biophysical models have been used in biology for decades, but they have been limited in scope and size. In this book, Bernhard Ø. Palsson shows how network reconstructions that are based on genomic and bibliomic data, and take the form of established stoichiometric matrices, can be converted into dynamic models using metabolomic and fluxomic data. The Mass Action Stoichiometric Simulation (MASS) procedure can be used for any cellular process for which data is available and allows a scalable step-by-step approach to the practical construction of network models. Specifically, it can treat integrated processes that need explicit accounting of small molecules and protein, which allows simulation at the molecular level. The material has been class-tested by the author at both the undergraduate and graduate level. All computations in the text are available online in MATLAB and MATHEMATICA® workbooks, allowing hands-on practice with the material. Erscheint auch als Druck-Ausgabe 9781107001596 |
| spellingShingle | Palsson, Bernhard Systems biology simulation of dynamic network states |
| title | Systems biology simulation of dynamic network states |
| title_auth | Systems biology simulation of dynamic network states |
| title_exact_search | Systems biology simulation of dynamic network states |
| title_full | Systems biology simulation of dynamic network states Bernhard Ø. Palsson |
| title_fullStr | Systems biology simulation of dynamic network states Bernhard Ø. Palsson |
| title_full_unstemmed | Systems biology simulation of dynamic network states Bernhard Ø. Palsson |
| title_short | Systems biology |
| title_sort | systems biology simulation of dynamic network states |
| title_sub | simulation of dynamic network states |
| work_keys_str_mv | AT palssonbernhard systemsbiologysimulationofdynamicnetworkstates |