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Article details
Title
Methionine 286 in transmembrane domain 3 of the GABAA receptor β subunit controls a binding cavity for propofol and other alkylphenol general anesthetics
Published in
Neuropharmacology, December 2001
DOI 10.1016/s0028-3908(01)00141-1
Pubmed ID
Authors
Abstract

gamma-Aminobutyric acid type A (GABA(A)) receptors are an important target for general anesthetics in the central nervous system. Site-directed mutagenesis techniques have identified amino acid residues that are important for the positive modulation of GABA(A) receptors by general anesthetics. In the present study, we investigate the role of an amino acid residue in transmembrane (TM) domain 3 of the GABA(A) receptor beta(2) subunit for modulation by the general anesthetic 2,6-diisopropylphenol (propofol). Mutation of methionine 286 to tryptophan (M286W) in the beta(2) subunit abolished potentiation of GABA responses by propofol but did not affect direct receptor activation by propofol in the absence of GABA. In contrast, substitution of methionine 286 by alanine, cysteine, glutamate, lysine, phenylalanine, serine, or tyrosine was permissive for potentiation of GABA responses and direct activation by propofol. Using propofol analogs of varying molecular size, we show that the beta(2)(M286W) mutation resulted in a decrease in the 'cut-off' volume for propofol analog molecules to enhance GABA responses at GABA(A) alpha(1)beta(2)gamma(2s) receptors. This suggests that mutation of M286 in the GABA(A) beta(2) subunit alters the dimensions of a 'binding pocket' for propofol and related alkylphenol general anesthetics.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Austria 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 7 14%
Student > Bachelor 6 12%
Student > Postgraduate 6 12%
Other 4 8%
Other 8 16%
Unknown 8 16%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 15 30%
Biochemistry, Genetics and Molecular Biology 7 14%
Agricultural and Biological Sciences 7 14%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Neuroscience 4 8%
Other 3 6%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 July 2016.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Neuropharmacology
#1,868
of 4,817 outputs
Outputs of similar age
#32,691
of 132,013 outputs
Outputs of similar age from Neuropharmacology
#8
of 17 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,817 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 35th percentile – i.e., 35% 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 132,013 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.