| Title |
NMR line shape analysis of a multi-state ligand binding mechanism in chitosanase
|
|---|---|
| Published in |
Journal of Biomolecular NMR, April 2017
|
| DOI | 10.1007/s10858-017-0109-6 |
| Pubmed ID | |
| Authors |
Shoko Shinya, Mariana G. Ghinet, Ryszard Brzezinski, Kyoko Furuita, Chojiro Kojima, Sneha Shah, Evgenii L. Kovrigin, Tamo Fukamizo |
| Abstract |
Chitosan interaction with chitosanase was examined through analysis of spectral line shapes in the NMR HSQC titration experiments. We established that the substrate, chitosan hexamer, binds to the enzyme through the three-state induced-fit mechanism with fast formation of the encounter complex followed by slow isomerization of the bound-state into the final conformation. Mapping of the chemical shift perturbations in two sequential steps of the mechanism highlighted involvement of the substrate-binding subsites and the hinge region in the binding reaction. Equilibrium parameters of the three-state model agreed with the overall thermodynamic dissociation constant determined by ITC. This study presented the first kinetic evidence of the induced-fit mechanism in the glycoside hydrolases. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 29% |
| Researcher | 5 | 18% |
| Student > Master | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Professor | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 32% |
| Biochemistry, Genetics and Molecular Biology | 7 | 25% |
| Chemistry | 4 | 14% |
| Chemical Engineering | 1 | 4% |
| Unknown | 7 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 April 2017.
All research outputs
#20,413,129
of 22,963,381 outputs
Outputs from Journal of Biomolecular NMR
#560
of 615 outputs
Outputs of similar age
#270,285
of 310,178 outputs
Outputs of similar age from Journal of Biomolecular NMR
#8
of 8 outputs
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