Genome3D: exploiting structure to help users understand their sequences
- Submitting institution
-
Goldsmiths' College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 3411
- Type
- D - Journal article
- DOI
-
10.1093/nar/gku973
- Title of journal
- Nucleic Acids Research
- Article number
- -
- First page
- D382
- Volume
- 43
- Issue
- D1
- ISSN
- 0305-1048
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- URL
-
http://research.gold.ac.uk/id/eprint/27416/
- 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
-
23
- Research group(s)
-
-
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper presents recent work developing the Genome3D resource. This website aggregates 3D models of proteins across the most important model genomes in biology. The project brings together six leading UK groups to produce data that represents the state of the art in genome scale protein structure prediction. The contribution was to provide structural predictions based on the DomSerf, DISOPRED3 and pDomTHREADER software. These models help streamline biochemistry research across the world. The service sees use by biochemists and researchers across Europe. The site is an EU-ELIXIR TeSS training node.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -