Evidence map›Paper›PMID 23372744›Full record

ArticlePloS one2013

Prediction of structure of human WNT-CRD (FZD) complex for computational drug repurposing.

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

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Bioinformatic Analysis of WNT Family Proteins.Bioinformatics and biology insights · 2025
    Article
  2. Review
  3. Frontiers in pharmacology · 2024
    Article
  4. The structural biology of canonical Wnt signalling.Biochemical Society transactions · 2020
    Review
  5. Article
  6. WNT Signaling in Cardiac and Vascular Disease.Pharmacological reviews · 2018
    Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qurrat U AinDepartment of Biosciences, COMSATS Institute of Information Technology, Islamabad, Pakistan.
Umair Seemab
Sajid Rashid
Muhammad Sulaman Nawaz
Mohammad A Kamal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Drug DesignModels, MolecularAmino Acid SequenceComputer SimulationFrizzled ReceptorsHumansHydrophobic and Hydrophilic InteractionsMolecular Docking SimulationMolecular Sequence DataProtein BindingProtein ConformationProtein Interaction Domains and MotifsProtein MultimerizationProto-Oncogene MasSequence AlignmentWnt ProteinsFrizzled ReceptorsMAS1 protein, humanProto-Oncogene MasWnt Proteins

Identifiers

PMID23372744
PMCPMC3556074

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.