| Title |
Study of structural dynamics of ligand-activated membrane receptors by means of principal component analysis
|
|---|---|
| Published in |
Biochemistry, April 2013
|
| DOI | 10.1134/s0006297913040093 |
| Pubmed ID | |
| Authors |
G. V. Novikov, V. S. Sivozhelezov, K. V. Shaitan |
| Abstract |
The structural dynamics of three different ligand-activated G-protein coupled receptors (GPCRs) and the photoreactive receptor rhodopsin from mammals were comparatively studied. As a result, diagrams demonstrating the main structural differences between the studied membrane receptors were obtained. These diagrams represent the projection of the crystal structures of rhodopsin photointermediates and ligand-activated receptors onto the plane defined by the principal components. Thus, we were able to associate the activation process of the receptors with large-scale movements of their individual transmembrane (TM) domains. In addition, the dynamics of extracellular loops of ligand-activated receptors responsible for recognition and initial binding of ligands was studied. Based on these results, two parameters of functionally significant structural dynamics of membrane receptors can be thoroughly analyzed simultaneously - movements of individual TM helices and of extracellular loops. |
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 % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 3 | 23% |
| Student > Master | 2 | 15% |
| Researcher | 2 | 15% |
| Other | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 3 | 23% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 46% |
| Biochemistry, Genetics and Molecular Biology | 3 | 23% |
| Mathematics | 1 | 8% |
| Neuroscience | 1 | 8% |
| Chemistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |
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 18 April 2013.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Biochemistry
#20,693
of 22,288 outputs
Outputs of similar age
#162,069
of 211,178 outputs
Outputs of similar age from Biochemistry
#71
of 88 outputs
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