Current Challenges in Modeling Cellular Metabolism
Mathematical and computational models play an essential role in understanding the cellular metabolism. They are used as platforms to integrate current knowledge on a biological system and to systematically test and predict the effect of manipulations to such systems. The recent advances in genome se...
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| Główni autorzy: | , , , |
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| Format: | Online |
| Język: | angielski |
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Frontiers Media SA
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | 18874 |
| Etykiety: |
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| _version_ | 1869518269294051328 |
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| author | Daniel Machado Markus J. Herrgard Kai H. Zhuang Nikolaus Sonnenschein |
| author_browse | Daniel Machado Kai H. Zhuang Markus J. Herrgard Nikolaus Sonnenschein |
| author_facet | Daniel Machado Markus J. Herrgard Kai H. Zhuang Nikolaus Sonnenschein |
| author_sort | Daniel Machado |
| collection | Directory of Open Access Books |
| description | Mathematical and computational models play an essential role in understanding the cellular metabolism. They are used as platforms to integrate current knowledge on a biological system and to systematically test and predict the effect of manipulations to such systems. The recent advances in genome sequencing techniques have facilitated the reconstruction of genome-scale metabolic networks for a wide variety of organisms from microbes to human cells. These models have been successfully used in multiple biotechnological applications. Despite these advancements, modeling cellular metabolism still presents many challenges. The aim of this Research Topic is not only to expose and consolidate the state-of-the-art in metabolic modeling approaches, but also to push this frontier beyond the current edge through the introduction of innovative solutions. The articles presented in this e-book address some of the main challenges in the field, including the integration of different modeling formalisms, the integration of heterogeneous data sources into metabolic models, explicit representation of other biological processes during phenotype simulation, and standardization efforts in the representation of metabolic models and simulation results. |
| format | Online |
| id | doab-20.500.12854ir-44410 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-444102024-04-05T12:32:12Z Current Challenges in Modeling Cellular Metabolism Daniel Machado Markus J. Herrgard Kai H. Zhuang Nikolaus Sonnenschein QH301-705.5 TP248.13-248.65 TA1-2040 Q1-390 computational methods Metabolic Engineering Cellular metabolism Metabolic Regulation modeling formalisms Systems Biology phenotype simulation Mathematical Models thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Mathematical and computational models play an essential role in understanding the cellular metabolism. They are used as platforms to integrate current knowledge on a biological system and to systematically test and predict the effect of manipulations to such systems. The recent advances in genome sequencing techniques have facilitated the reconstruction of genome-scale metabolic networks for a wide variety of organisms from microbes to human cells. These models have been successfully used in multiple biotechnological applications. Despite these advancements, modeling cellular metabolism still presents many challenges. The aim of this Research Topic is not only to expose and consolidate the state-of-the-art in metabolic modeling approaches, but also to push this frontier beyond the current edge through the introduction of innovative solutions. The articles presented in this e-book address some of the main challenges in the field, including the integration of different modeling formalisms, the integration of heterogeneous data sources into metabolic models, explicit representation of other biological processes during phenotype simulation, and standardization efforts in the representation of metabolic models and simulation results. 2021-02-11T10:53:04Z 2021-02-11T10:53:04Z 2016-04-07 11:22:02 2016 book 18874 16648714 9782889197545 https://directory.doabooks.org/handle/20.500.12854/44410 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Current_Challenges_in_Modeling_Cellular_Metabolism/774#nogo http://journal.frontiersin.org/researchtopic/2234/current-challenges-in-modeling-cellular-metabolism Frontiers Media SA 10.3389/978-2-88919-754-5 10.3389/978-2-88919-754-5 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889197545 115 open access |
| spellingShingle | QH301-705.5 TP248.13-248.65 TA1-2040 Q1-390 computational methods Metabolic Engineering Cellular metabolism Metabolic Regulation modeling formalisms Systems Biology phenotype simulation Mathematical Models thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Daniel Machado Markus J. Herrgard Kai H. Zhuang Nikolaus Sonnenschein Current Challenges in Modeling Cellular Metabolism |
| title | Current Challenges in Modeling Cellular Metabolism |
| title_full | Current Challenges in Modeling Cellular Metabolism |
| title_fullStr | Current Challenges in Modeling Cellular Metabolism |
| title_full_unstemmed | Current Challenges in Modeling Cellular Metabolism |
| title_short | Current Challenges in Modeling Cellular Metabolism |
| title_sort | current challenges in modeling cellular metabolism |
| topic | QH301-705.5 TP248.13-248.65 TA1-2040 Q1-390 computational methods Metabolic Engineering Cellular metabolism Metabolic Regulation modeling formalisms Systems Biology phenotype simulation Mathematical Models thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | QH301-705.5 TP248.13-248.65 TA1-2040 Q1-390 computational methods Metabolic Engineering Cellular metabolism Metabolic Regulation modeling formalisms Systems Biology phenotype simulation Mathematical Models thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | 18874 |
| work_keys_str_mv | AT danielmachado currentchallengesinmodelingcellularmetabolism AT markusjherrgard currentchallengesinmodelingcellularmetabolism AT kaihzhuang currentchallengesinmodelingcellularmetabolism AT nikolaussonnenschein currentchallengesinmodelingcellularmetabolism |