Imperial College London: Spiral
Article . 2019
License: CC BY
Full-Text: http://hdl.handle.net/10044/1/68971
Data sources: Bielefeld Academic Search Engine (BASE)
Spiral - Imperial College Digital Repository
Article . 2019
Data sources: Spiral - Imperial College Digital Repository
University of Bath's research portal
Article . 2019
Data sources: University of Bath's research portal
Ligand discrimination between active and inactive activation loop conformations of Aurora-A kinase is unmodified by phosphorylation
WT| unidentified ,
UKRI| Conformational selection in Aurora-A kinase: competition between activator- and inhibitor- promoted forms
Authors: James A. H. Gilburt; Paul Girvan; Julian Blagg; Liming Ying; Charlotte A. Dodson;
Ligand discrimination between active and inactive activation loop conformations of Aurora-A kinase is unmodified by phosphorylation
Abstract
Activation loop phosphorylation changes the position of equilibrium between DFG-in-like and DFG-out-like conformations but not the conformational preference of inhibitors.
Related Organizations
- National Institute of Health Pakistan
- Institute of Cancer Research United Kingdom
- University of Bath United Kingdom
- Imperial College London United Kingdom
Keywords
/dk/atira/pure/subjectarea/asjc/1600/1606, 570, Chemistry, /dk/atira/pure/subjectarea/asjc/1600/1605, Organic Chemistry, Biophysics, Physical and Theoretical Chemistry, 540, /dk/atira/pure/subjectarea/asjc/1300/1304
/dk/atira/pure/subjectarea/asjc/1600/1606, 570, Chemistry, /dk/atira/pure/subjectarea/asjc/1600/1605, Organic Chemistry, Biophysics, Physical and Theoretical Chemistry, 540, /dk/atira/pure/subjectarea/asjc/1300/1304
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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
6
Top 10%
Average
Average
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