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Theoretical studies on the interaction of partial agonists with the 5-HT2A receptor

Overview of attention for article published in Perspectives in Drug Discovery and Design, November 2010
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
wikipedia
20 Wikipedia pages

Citations

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18 Dimensions

Readers on

mendeley
47 Mendeley
Title
Theoretical studies on the interaction of partial agonists with the 5-HT2A receptor
Published in
Perspectives in Drug Discovery and Design, November 2010
DOI 10.1007/s10822-010-9400-2
Pubmed ID
Authors

Maria Elena Silva, Ralf Heim, Andrea Strasser, Sigurd Elz, Stefan Dove

Abstract

A series of 51 5-HT(2A) partial agonistic arylethylamines (primary or benzylamines) from different structural classes (indoles, methoxybenzenes, quinazolinediones) was investigated by fragment regression analysis (FRA), docking and 3D-QSAR approaches. The data, pEC(50) values and intrinsic activities (E(max)) on rat arteries, show high variability of pEC(50) from 4 to 10 and of E(max) from 15 to 70%. FRA indicates which substructures affect potency or intrinsic activity. The high contribution of halogens in para position of phenethylamines to pEC(50) points to a specific hydrophobic pocket. Other results suggest the significance of hydrogen bonds of the aryl moiety for activation and the contrary effect of benzyl groups on affinity (increasing) and intrinsic activity (decreasing). Results from fragment regression and data on all available mutants were considered to derive a common binding site at the rat 5-HT(2A) receptor. After generation and MD simulations of a receptor model based on the β(2)-adrenoceptor structure, typical derivatives were docked, leading to the suggestion of common interactions, e.g., with serines in TM3 and TM5 and with a cluster of aromatic amino acids in TM5 and TM6. The whole series was aligned by docking and minimization of the complexes. The pEC(50) values correlate well with Sybyl docking energies and hydrophobicity of the aryl moieties. With this alignment, CoMFA and CoMSIA approaches based on a training set of 36 and a test set of 15 compounds were performed. The correlation of pEC(50) with steric, electrostatic, hydrophobic and H-bond acceptor fields resulted in sufficient fit (q (2): 0.75-0.8, r (2): 0.92-0.95) and predictive power (r (pred) (2) : 0.85-0.88). The important interaction regions largely reflect the patterns provided by the putative binding site. In particular, the fit of the aryl moieties and benzyl substituents to two hydrophobic pockets is evident.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Tunisia 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Student > Master 7 15%
Researcher 6 13%
Student > Bachelor 5 11%
Professor 4 9%
Other 7 15%
Unknown 7 15%
Readers by discipline Count As %
Chemistry 15 32%
Agricultural and Biological Sciences 7 15%
Medicine and Dentistry 4 9%
Biochemistry, Genetics and Molecular Biology 3 6%
Psychology 2 4%
Other 9 19%
Unknown 7 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 20 January 2024.
All research outputs
#2,667,280
of 25,457,858 outputs
Outputs from Perspectives in Drug Discovery and Design
#73
of 949 outputs
Outputs of similar age
#14,468
of 188,132 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#1
of 9 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 92% of its peers.
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 188,132 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them