↓ Skip to main content

Prediction of Structure of Human WNT-CRD (FZD) Complex for Computational Drug Repurposing

Overview of attention for article published in PLOS ONE, January 2013
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
45 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Prediction of Structure of Human WNT-CRD (FZD) Complex for Computational Drug Repurposing
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054630
Pubmed ID
Authors

Qurrat U. Ain, Umair Seemab, Sajid Rashid, Muhammad Sulaman Nawaz, Mohammad A. Kamal

Abstract

The observed genetic alterations of various extracellular and intracellular WNT (Wingless, Int-1 proto-oncogene) signaling components can result in an increase or decrease in gene expression, and hence can be obstructed proficiently. These genetics target sites may include the prevention of WNT-FZD (Frizzled) binding, destruction of β-catenin and formation of Axin, APC and GSK-3β complex. Hence, the localized targeting of these interacting partners can help in devising novel inhibitors against WNT signaling. Our present study is an extension of our previous work, in which we proposed the co-regulated expression pattern of the WNT gene cluster (WNT-1, WNT-6, WNT-10A and WNT-10B) in human breast carcinoma. We present here the computationally modeled three dimensional structure of human WNT-1 in complex with the FZD-1 CRD (Cysteine Rich Domain) receptor. The dimeric cysteine-rich domain was found to fit into the evolutionarily conserved U-shaped groove of WNT protein. The two ends of the U- shaped cleft contain N-terminal and C-terminal hydrophobic residues, thus providing a strong hydrophobic moiety for the frizzled receptor and serving as the largest binding pocket for WNT-FZD interaction. Detailed structural analysis of this cleft revealed a maximum atomic distance of ~28 Å at the surface, narrowing down to ~17 Å and again increasing up to ~27 Å at the bottom. Altogether, structural prediction analysis of WNT proteins was performed to reveal newer details about post-translational modification sites and to map the novel pharmacophore models for potent WNT inhibitors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 2%
Saudi Arabia 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Student > Master 7 16%
Researcher 6 13%
Student > Bachelor 4 9%
Other 3 7%
Other 7 16%
Unknown 7 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 27%
Biochemistry, Genetics and Molecular Biology 6 13%
Medicine and Dentistry 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 4 9%
Chemistry 4 9%
Other 7 16%
Unknown 7 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 November 2013.
All research outputs
#7,179,139
of 22,693,205 outputs
Outputs from PLOS ONE
#84,924
of 193,724 outputs
Outputs of similar age
#81,050
of 280,879 outputs
Outputs of similar age from PLOS ONE
#1,910
of 5,029 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 193,724 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 54% 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 280,879 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 5,029 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.