In silico modelling to differentiate the contribution of sugar frequency versus total amount in driving biofilm dysbiosis in dental caries
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-2526
- Type
- D - Journal article
- DOI
-
10.1038/s41598-017-17660-z
- Title of journal
- Scientific Reports
- Article number
- 17413
- First page
- -
- Volume
- 7
- Issue
- -
- ISSN
- 2045-2322
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- 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
-
2
- Research group(s)
-
D - CSE (Computational Science and Engineering)
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- First 3D agent-based biofilm model for dental plaque to test a recently-proposed hypothesis based on large-scale clinical studies. Considerably extended functionality of high-fidelity model [22] to simulate new ecology-based problem. Led to ongoing collaboration using modified model to test related oral health hypotheses (with L. Tenuta, Chicago; one manuscript submitted, one in preparation). Led to an invited talk at University of Edinburgh “Mathematical Biology” series in 2019.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
