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Towards a rational spacer design for bivalent inhibition of estrogen receptor

Overview of attention for article published in Perspectives in Drug Discovery and Design, February 2011
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Title
Towards a rational spacer design for bivalent inhibition of estrogen receptor
Published in
Perspectives in Drug Discovery and Design, February 2011
DOI 10.1007/s10822-011-9417-1
Pubmed ID
Authors

Alexander Bujotzek, Min Shan, Rainer Haag, Marcus Weber

Abstract

Estrogen receptors are known drug targets that have been linked to several kinds of cancer. The structure of the estrogen receptor ligand binding domain is available and reveals a homodimeric layout. In order to improve the binding affinity of known estrogen receptor inhibitors, bivalent compounds have been developed that consist of two individual ligands linked by flexible tethers serving as spacers. So far, binding affinities of the bivalent compounds do not surpass their monovalent counterparts. In this article, we focus our attention on the molecular spacers that are used to connect the individual ligands to form bivalent compounds, and describe their thermodynamic contribution during the ligand binding process. We use computational methods to predict structural and entropic parameters of different spacer structures. We find that flexible spacers introduce a number of effects that may interfere with ligand binding and possibly can be connected to the low binding affinities that have been reported in binding assays. Based on these findings, we try to provide guidelines for the design of novel molecular spacers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 6%
Germany 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Researcher 4 24%
Student > Master 2 12%
Unknown 4 24%
Readers by discipline Count As %
Chemistry 10 59%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 6 35%
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 28 June 2021.
All research outputs
#8,571,053
of 25,457,858 outputs
Outputs from Perspectives in Drug Discovery and Design
#420
of 949 outputs
Outputs of similar age
#43,937
of 119,127 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#3
of 5 outputs
Altmetric has tracked 25,457,858 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 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 is in the 30th percentile – i.e., 30% 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 119,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% 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. This one has scored higher than 2 of them.