Evidence map›Paper›PMID 31454915›Full record

ArticleInternational journal of molecular sciences2019

Wnt Binding Affinity Prediction for Putative Frizzled-Type Cysteine-Rich Domains.

Mark Agostino, Sebastian Öther-Gee Pohl

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

13 citing papers in PubMed.

  1. MultilevelCurrent research in structural biology · 2026
    Article
  2. Article
  3. Frizzled receptors: gatekeepers of Wnt signaling in development and disease.Frontiers in cell and developmental biology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Novel Biomolecules in the Pathogenesis of Gestational Diabetes Mellitus 2.0.International journal of molecular sciences · 2022
    Review
  9. Review
  10. Article
  11. Review
  12. The structural biology of canonical Wnt signalling.Biochemical Society transactions · 2020
    Review
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Mark AgostinoSchool of Pharmacy and Biomedical Sciences, Curtin Health and Innovation Research Institute, Curtin University, Perth WA 6845, Australia. Mark.Agostino@curtin.edu.au.ORCID 0000-0002-1799-0392
Sebastian Öther-Gee PohlSchool of Pharmacy and Biomedical Sciences, Curtin Health and Innovation Research Institute, Curtin University, Perth WA 6845, Australia.ORCID 0000-0002-4294-9498

Funding

Curtin University of Technology CRF130006
6 · The paper itself

Abstract

Several proteins other than the frizzled receptors (Fzd) and the secreted Frizzled-related proteins (sFRP) contain Fzd-type cysteine-rich domains (CRD). We have termed these domains "putative Fzd-type CRDs", as the relevance of Wnt signalling in the majority of these is unknown; the RORs, an exception to this, are well known for mediating non-canonical Wnt signalling. In this study, we have predicted the likely binding affinity of all Wnts for all putative Fzd-type CRDs. We applied both our previously determined Wnt‒Fzd CRD binding affinity prediction model, as well as a newly devised model wherein the lipid term was forced to contribute favourably to the predicted binding energy. The results obtained from our new model indicate that certain putative Fzd CRDs are much more likely to bind Wnts, in some cases exhibiting selectivity for specific Wnts. The results of this study inform the investigation of Wnt signalling modulation beyond Fzds and sFRPs.

Indexed as

CysteineProtein Interaction Domains and MotifsFrizzled ReceptorsHumansModels, MolecularProtein BindingProtein MultimerizationSignal TransductionWnt ProteinsCysteineFrizzled ReceptorsWnt Proteinscysteine-rich domainFrizzledprotein‒protein interactionssmoothenedWnt signalling

Identifiers

PMID31454915
PMCPMC6747125

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Registered trials

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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.