In silico identification of rescue sites by double force scanning
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 098-180038-20659
- Type
- D - Journal article
- DOI
-
10.1093/bioinformatics/btx515
- Title of journal
- Bioinformatics
- Article number
- -
- First page
- 207-214
- Volume
- 34
- Issue
- 2
- ISSN
- 1367-4803
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/bioinformatics/34/2/10.1093_bioinformatics_btx515/3/btx515_supplementarydata.zip?Expires=1616593670&Signature=x9HmkXmBEQXjL7qtxSP6cRWzr03pBusb3WYKvBZCz9xQ8~FER6oQ2DrQAgIah3-cc6dro6YRGIdDcEszAvuDHnh~J1nJFk5whvOhuhivba5jqYsg4DuWmioLg-zUIMeXjTxy75fwf-dQzYVP1nOVLqf~HSDCVb5RAJSfI65NTib8LRE6Ee-kBd-BVU59xmnBZkLGmuWOYANcoOeex5cdmXcMsTtXst6LldBkuECPM9wwx0qvm2TNCIVwJIO4p~k254YiqgztoGJb3NAvHLC1l0MQC7m-VdqT32WWieU~J1b8JgtttL2C23fMchfrSTBBu-N5EqsCoy6X-Wv~7kebZA__&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
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in Bioinformatics that is ranked 3rd out of 59 journals in Mathematical & Computational Biology, this paper describes a general new computational algorithm to predict putative binding surfaces of new drugs in proteins involved in major diseases, e.g. cancer and cardiovascular diseases. After publication, it was selected for a presentation in the most important conference in biomolecular simulations (BPM2018 acceptance rate 25%) and was recommended in F1000Prime as being of special significance in its field. Open source (GPL) C+Python software is available on github (https://fornililab.github.io/dfs).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
