Drug target optimization in chronic myeloid leukemia using innovative computational platform
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 784
- Type
- D - Journal article
- DOI
-
10.1038/srep08190
- Title of journal
- Scientific Reports
- Article number
- 8190
- First page
- -
- Volume
- 5
- Issue
- 1
- ISSN
- 2045-2322
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2015
- 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
- No
- Number of additional authors
-
10
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Research represents unique interdisciplinary collaboration between cell biologists and researchers in formal verification and HCI. Output presents a first-of-its-kind tool for modelling signalling pathways and cell fate using formal logic, through an accessible user interface. The work has been presented in a number of disciplinary fields including HCI (Taylor et al. 2013), and software studies (Taylor et al. 2014). The research continues to yield research and educational contributions through high-profile publications on cancer modelling (Clarke and Fisher 2020) and an open source version of the tool fully maintained by a team at MRC Cancer Unit, Cambridge University (https://github.com/hallba/BioModelAnalyzer).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
