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

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

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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%