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Systems Biology of Metabolism
KTH, Centres, Science for Life Laboratory, SciLifeLab.
2017 (English)In: ANNUAL REVIEW OF BIOCHEMISTRY, VOL 86 / [ed] Kornberg, R D, ANNUAL REVIEWS , 2017, p. 245-275Chapter in book (Refereed)
Abstract [en]

Metabolism is highly complex and involves thousands of different connected reactions; it is therefore necessary to use mathematical models for holistic studies. The use of mathematical models in biology is referred to as systems biology. In this review, the principles of systems biology are described, and two different types of mathematical models used for studying metabolism are discussed: kinetic models and genome-scale metabolic models. The use of different omics technologies, including transcriptomics, proteomics, metabolomics, and fluxomics, for studying metabolism is presented. Finally, the application of systems biology for analyzing global regulatory structures, engineering the metabolism of cell factories, and analyzing human diseases is discussed.

Place, publisher, year, edition, pages
ANNUAL REVIEWS , 2017. p. 245-275
Series
Annual Review of Biochemistry, ISSN 0066-4154 ; 86
Keyword [en]
genome-scale metabolic models, metabolic engineering, metabolomics, proteomics, systems medicine, transcriptomics
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:kth:diva-214364DOI: 10.1146/annurev-biochem-061516-044757ISI: 000407725800011PubMedID: 28301739Scopus ID: 2-s2.0-85021651714ISBN: 978-0-8243-0886-5 OAI: oai:DiVA.org:kth-214364DiVA, id: diva2:1140345
Note

QC 20170912

Available from: 2017-09-12 Created: 2017-09-12 Last updated: 2017-09-12Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
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More styles
Language
  • de-DE
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  • en-US
  • fi-FI
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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