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Designing modulators of monoamine transporters using virtual screening techniques

Overview of attention for article published in Frontiers in Pharmacology, September 2015
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Title
Designing modulators of monoamine transporters using virtual screening techniques
Published in
Frontiers in Pharmacology, September 2015
DOI 10.3389/fphar.2015.00223
Pubmed ID
Authors

Ole V. Mortensen, Sandhya Kortagere

Abstract

The plasma-membrane monoamine transporters (MATs), including the serotonin (SERT), norepinephrine (NET) and dopamine (DAT) transporters, serve a pivotal role in limiting monoamine-mediated neurotransmission through the reuptake of their respective monoamine neurotransmitters. The transporters are the main target of clinically used psychostimulants and antidepressants. Despite the availability of several potent and selective MAT substrates and inhibitors the continuing need for therapeutic drugs to treat brain disorders involving aberrant monoamine signaling provides a compelling reason to identify novel ways of targeting and modulating the MATs. Designing novel modulators of MAT function have been limited by the lack of three dimensional structure information of the individual MATs. However, crystal structures of LeuT, a bacterial homolog of MATs, in a substrate-bound occluded, substrate-free outward-open, and an apo inward-open state and also with competitive and non-competitive inhibitors have been determined. In addition, several structures of the Drosophila DAT have also been resolved. Together with computational modeling and experimental data gathered over the past decade, these structures have dramatically advanced our understanding of several aspects of SERT, NET, and DAT transporter function, including some of the molecular determinants of ligand interaction at orthosteric substrate and inhibitor binding pockets. In addition progress has been made in the understanding of how allosteric modulation of MAT function can be achieved. Here we will review all the efforts up to date that has been made through computational approaches employing structural models of MATs to design small molecule modulators to the orthosteric and allosteric sites using virtual screening techniques.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 39%
Professor > Associate Professor 4 13%
Student > Bachelor 3 10%
Student > Doctoral Student 2 6%
Researcher 2 6%
Other 4 13%
Unknown 4 13%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 7 23%
Chemistry 6 19%
Biochemistry, Genetics and Molecular Biology 4 13%
Agricultural and Biological Sciences 3 10%
Neuroscience 3 10%
Other 4 13%
Unknown 4 13%
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 29 September 2015.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from Frontiers in Pharmacology
#8,799
of 17,181 outputs
Outputs of similar age
#199,200
of 275,663 outputs
Outputs of similar age from Frontiers in Pharmacology
#60
of 104 outputs
Altmetric has tracked 23,577,654 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 17,181 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 275,663 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.