Application of portfolio optimization to drug discovery
- Submitting institution
-
De Montfort University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11156
- Type
- D - Journal article
- DOI
-
10.1016/j.ins.2018.09.049
- Title of journal
- Information Sciences
- Article number
- -
- First page
- 29
- Volume
- 475
- Issue
- -
- ISSN
- 0020-0255
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- 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
-
5
- Research group(s)
-
-
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The proposed approach for the first time maximises activity and structural diversity of the selected molecular portfolio simultaneously. The article is co-authored by chemists from a worldwide known drug research centre, who evaluated selected molecules and found them very promising, confirming the novel formulation significance.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -