A review of methods for the reconstruction and analysis of integrated genome-scale models of metabolism and regulation. (17th September 2020)
- Record Type:
- Journal Article
- Title:
- A review of methods for the reconstruction and analysis of integrated genome-scale models of metabolism and regulation. (17th September 2020)
- Main Title:
- A review of methods for the reconstruction and analysis of integrated genome-scale models of metabolism and regulation
- Authors:
- Cruz, Fernando
Faria, José P.
Rocha, Miguel
Rocha, Isabel
Dias, Oscar - Abstract:
- Abstract : The current survey aims to describe the main methodologies for extending the reconstruction and analysis of genome-scale metabolic models and phenotype simulation with Flux Balance Analysis mathematical frameworks, via the integration of Transcriptional Regulatory Networks and/or gene expression data. Although the surveyed methods are aimed at improving phenotype simulations obtained from these models, the perspective of reconstructing integrated genome-scale models of metabolism and gene expression for diverse prokaryotes is still an open challenge.
- Is Part Of:
- Biochemical Society transactions. Volume 48:Number 5(2020)
- Journal:
- Biochemical Society transactions
- Issue:
- Volume 48:Number 5(2020)
- Issue Display:
- Volume 48, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 48
- Issue:
- 5
- Issue Sort Value:
- 2020-0048-0005-0000
- Page Start:
- 1889
- Page End:
- 1903
- Publication Date:
- 2020-09-17
- Subjects:
- flux balance analysis -- gene expression and regulation -- genome-scale metabolic models -- genome-scale regulatory networks -- metabolism -- transcriptional regulatory networks
Biochemistry -- Congresses
572 - Journal URLs:
- https://portlandpress.com/biochemsoctrans ↗
- DOI:
- 10.1042/BST20190840 ↗
- Languages:
- English
- ISSNs:
- 0300-5127
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14850.xml