| Title |
Conformation and dynamics of 8-Arg-vasopressin in solution
|
|---|---|
| Published in |
Journal of Molecular Modeling, November 2014
|
| DOI | 10.1007/s00894-014-2485-0 |
| Pubmed ID | |
| Authors |
Elke Haensele, Lee Banting, David C. Whitley, Timothy Clark |
| Abstract |
Arginine-vasopressin was subjected to a long (11 μs) molecular dynamics simulation in aqueous solution. Analysis of the results by DASH and principal components analyses revealed four main ring conformations that move essentially independently of the faster-moving tail region. Two of these conformations (labeled "saddle") feature well-defined β-turns in the ring and conserved transannular hydrogen bonds, whereas the other two ("open") feature neither. The conformations have been identified and defined and are all of sufficient stability to be considered candidates for biological conformations in their cognate receptors. |
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 % |
|---|---|---|
| United Kingdom | 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 36% |
| Researcher | 3 | 21% |
| Student > Master | 2 | 14% |
| Professor | 1 | 7% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 9 | 64% |
| Psychology | 1 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Unknown | 3 | 21% |
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 07 November 2014.
All research outputs
#18,382,900
of 22,769,322 outputs
Outputs from Journal of Molecular Modeling
#520
of 812 outputs
Outputs of similar age
#188,180
of 262,797 outputs
Outputs of similar age from Journal of Molecular Modeling
#5
of 7 outputs
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