Quantitative method for the assignment of hinge and shear mechanism in protein domain movements
- Submitting institution
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The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182619363
- Type
- D - Journal article
- DOI
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10.1093/bioinformatics/btu506
- Title of journal
- Bioinformatics
- Article number
- -
- First page
- 3189
- Volume
- 30
- Issue
- 22
- ISSN
- 1367-4803
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- 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
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2
- Research group(s)
-
-
- Citation count
- 34
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The Dynamic Contact Graph (DCG), (Taylor et al., PloS One, Vol 8(110), 2013), introduced a unique way of representing amino acid contact changes within a protein domain movement. The Yale group led by Mark Gerstein have been long-time proponents of the “hinge” and “shear” classification of domain movements, but their method is subjective. Decomposition of DCGs and application of logistic regression using the Yale set for training enabled classification of a much larger number of protein domain movements into hinge or shear. New results at the DynDom website are now automatically classified as hinge and shear (see http://www.cmp.uea.ac.uk/dyndom).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -