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Structure-based 3D-QSAR studies on thiazoles as 5-HT3 receptor antagonists

Overview of attention for article published in Journal of Molecular Modeling, September 2006
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Title
Structure-based 3D-QSAR studies on thiazoles as 5-HT3 receptor antagonists
Published in
Journal of Molecular Modeling, September 2006
DOI 10.1007/s00894-006-0131-1
Pubmed ID
Authors

Li-Ping Zhu, De-Yong Ye, Yun Tang

Abstract

Structure-based 3D-QSAR studies were performed on 20 thiazoles against their binding affinities to the 5-HT(3) receptor with comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). The thiazoles were initially docked into the binding pocket of a human 5-HT(3A) receptor homology model, constructed on the basis of the crystal structure of the snail acetylcholine binding protein (AChBP), using the GOLD program. The docked conformations were then extracted and used to build the 3D-QSAR models, with cross-validated r2omega values 0.785 and 0.744 for CoMFA and CoMSIA, respectively. An additional five molecules were used to validate the models further, giving satisfactory predictive r2 values of 0.582 and 0.804 for CoMFA and CoMSIA, respectively. The results would be helpful for the discovery of new potent and selective 5-HT(3) receptor antagonists.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Professor > Associate Professor 2 20%
Researcher 2 20%
Student > Bachelor 1 10%
Unknown 3 30%
Readers by discipline Count As %
Chemistry 4 40%
Biochemistry, Genetics and Molecular Biology 1 10%
Unknown 5 50%
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 06 January 2010.
All research outputs
#7,454,066
of 22,788,370 outputs
Outputs from Journal of Molecular Modeling
#178
of 813 outputs
Outputs of similar age
#23,270
of 67,177 outputs
Outputs of similar age from Journal of Molecular Modeling
#5
of 5 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 813 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 58% 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 67,177 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 5 others from the same source and published within six weeks on either side of this one.