Towards dynamic genome scale models
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 044-179410-12826
- Type
- D - Journal article
- DOI
-
10.1093/bib/bbx096
- Title of journal
- Briefings In Bioinformatics
- Article number
- -
- First page
- 1167
- Volume
- 20
- Issue
- 4
- ISSN
- 1467-5463
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2017
- URL
-
https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbx096/4524047
- Supplementary information
-
https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/bib/20/4/10.1093_bib_bbx096/2/bbx096_supp.pdf?Expires=1616592750&Signature=l66a3wiIGSMcWaRkoWY9F8W283Q2-ylFXnvKwRpdZBFw8kYQ2Xq9k~zH1Uo2W2WYfsEQjzX3xTfLHWC~kAnIMOCwXvYRkMPoi~Wcpd15VqngGYAAS-SQ3gzCBPKtVIZkvokzkdmoAEHEfnEp9R~Nky8vpgHrZ1zthPOQPlWgYefS7etiqKgIeXb8h3xe-DrMYZKd7wazdMAQyLLTwCbw0KlP3~jlPTyIEm1n0l5arbHsG4KmbKepb~dTvaUTjGBBWTJTEMk7GP8Q-F6Fd~sFk5o19bMBLBTgWVERbuQLVw-wLX17nac4dDeSQO6VHhjtjISsj7w7y46WfnlD4uyRcg__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The journal is ranked 2nd among 59 in Mathematical & Computational Biology on WoS, and the work enables very large non-dynamic Flux Balance Analysis models of whole genome metabolism to be converted to dynamic models, then simulated and analysed using dynamic tools (simulators, model checkers) plus data analytics. Obstacles overcome were simulating such large models, automated graph-based editing, applying model checking to both metabolite and reaction (innovative) behaviour. Significance: this is the first time that Flux Balance Analysis representations of Whole Genome Metabolic Networks have been automatically converted into usable dynamic models. International collaborations: Germany (Prof Heiner & team).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
