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Beyond Modeling: All-Atom Olfactory Receptor Model Simulations

Overview of attention for article published in Frontiers in Genetics, January 2012
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Title
Beyond Modeling: All-Atom Olfactory Receptor Model Simulations
Published in
Frontiers in Genetics, January 2012
DOI 10.3389/fgene.2012.00061
Pubmed ID
Authors

Peter C. Lai, Chiquito J. Crasto

Abstract

Olfactory receptors (ORs) are a type of GTP-binding protein-coupled receptor (GPCR). These receptors are responsible for mediating the sense of smell through their interaction with odor ligands. OR-odorant interactions marks the first step in the process that leads to olfaction. Computational studies on model OR structures can generate focused and novel hypotheses for further bench investigation by providing a view of these interactions at the molecular level beyond inferences that are drawn merely from static docking. Here we have shown the specific advantages of simulating the dynamic environment associated with OR-odorant interactions. We present a rigorous protocol which ranges from the creation of a computationally derived model of an olfactory receptor to simulating the interactions between an OR and an odorant molecule. Given the ubiquitous occurrence of GPCRs in the membranes of cells, we anticipate that our OR-developed methodology will serve as a model for the computational structural biology of all GPCRs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Greece 1 3%
Brazil 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Master 8 24%
Student > Bachelor 5 15%
Student > Ph. D. Student 3 9%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 32%
Biochemistry, Genetics and Molecular Biology 6 18%
Chemistry 5 15%
Computer Science 3 9%
Engineering 2 6%
Other 3 9%
Unknown 4 12%
Attention Score in Context

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 10 May 2012.
All research outputs
#18,313,878
of 22,675,759 outputs
Outputs from Frontiers in Genetics
#6,965
of 11,737 outputs
Outputs of similar age
#195,972
of 244,088 outputs
Outputs of similar age from Frontiers in Genetics
#182
of 255 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,737 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.