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Dickkopf: Structure, Etymology & Proteins

Dickkopf (DKK) is a family of proteins consisting of five members as of 2020. That is, vertebrates usually contain five genes that are members of the family. The most well-studied is Dickkopf-related protein 1 (DKK1). DKK proteins inhibit the Wnt signaling pathway coreceptors LRP5 and LRP6. They bind with high affinity as ligands to KREMEN1 and KREMEN2…

Language: English [EN]
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Dickkopf topic overview

The analysis highlights Structure, Etymology and Proteins as prominent areas in the source structure around Dickkopf.

Related topics
27
Source areas
5
Connected nodes
32
Extracted relationships
16
Concept neighborhoods
18
Bridge connections
32

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 10 topics
Structure · 6 topics
Etymology · 4 topics
Proteins · 4 topics
Human disease · 3 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Domains
InterPro
HGNC
2891
Locus
Chr. 10 q21.1
NCBI gene
22943
OMIM
605189
RefSeq
NP_036374

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Etymology

Structure

Proteins

Human disease

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Dickkopf connects Entity context

The extracted context around Dickkopf shows recurring relationship patterns in the source. For example, Dickkopf → DKK1, German, Glinka, It, Nature, Xenopus Another extracted example is Dickkopf → InterPro. Use these groups to spot repeated connection types before inspecting the individual relationships.

Dickkopf

Top relations

related to Etymology · 6
Dickkopf → DKK1, German, Glinka, It, Nature, Xenopus
Domains · 1
Dickkopf → InterPro
HGNC · 1
Dickkopf → 2891
Locus · 1
Dickkopf → Chr. 10 q21.1
NCBI gene · 1
Dickkopf → 22943
OMIM · 1
Dickkopf → 605189
RefSeq · 1
Dickkopf → NP_036374
Search for · 1
Dickkopf → Search forStructuresSwiss-modelDomainsInterPro
Structures · 1
Dickkopf → Swiss-model
Symbol · 1
Dickkopf → DKK1

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

proteins dkk1 dkk vertebrates dkk3 family five members consisting protein high chr 10 q21 human disease dkk2 dkk4 domains lrp5

Dickkopf relationships Subject–Predicate–Object triples

TTTA extracted 16 structured relationships around Dickkopf. Examples in this analysis include Dickkopf → Domains → InterPro and Dickkopf → HGNC → 2891. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
DickkopfDomainsInterPro1.00infobox
DickkopfHGNC28911.00infobox
DickkopfLocusChr. 10 q21.11.00infobox
DickkopfNCBI gene229431.00infobox
DickkopfOMIM6051891.00infobox
DickkopfRefSeqNP_0363741.00infobox
DickkopfSearch forSearch forStructuresSwiss-modelDomainsInterPro1.00infobox
DickkopfStructuresSwiss-model1.00infobox
DickkopfSymbolDKK11.00infobox
DickkopfUniProtO949071.00infobox
Dickkopfrelated to EtymologyGerman0.60section
Dickkopfrelated to EtymologyIt0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Dickkopf bring nearby vocabulary together. In this analysis, examples include Consisting, Domains and Head. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • family of proteins
    • Five
    • Members
    • Vertebrates
    • Contain
    • Genes
    • Usually
    • Disease
    • Dkk2
    • Dkk4
    • Human
    • Involved
    • Protein
  • vertebrates
    • Family
    • Five
    • Contain
    • Dkk
    • Genes
    • Usually
    • Disease
    • Dkk2
    • Dkk4
    • Human
    • Involved
    • Members
  • transmembrane proteins
    • Disease
    • Human
    • Vertebrates
    • Kremen1
    • Kremen2
    • Ligands
    • Lrp5
    • Lrp6
    • Wnt
    • Chr
    • Dkk2
    • Dkk4
  • proteins
    • Disease
    • Human
    • Vertebrates
    • Kremen1
    • Kremen2
    • Ligands
    • Lrp5
    • Lrp6
    • Wnt
    • Chr
    • Dkk2
    • Dkk4
  • human disease
    • Disease
    • Human
    • Chr
    • Dkk2
    • Dkk4
    • Involved
    • Protein
    • Dkk1
    • Family
    • Five
    • Proteins
    • Vertebrates
  • dkk2
    • Dkk4
    • Human
    • Involved
    • Kda
    • Protein
    • Similar
    • Weights
    • Family
    • Five
    • Vertebrates
    • Dkk3
    • Proteins
  • dickkopf-related protein 1
    • Well-studied
    • Protein
    • Disease
    • Dkk2
    • Dkk4
    • Human
    • Involved
    • Dkk1
    • Vertebrates
    • Dkk3
    • Proteins
  • dkk3
    • Involved
    • -2
    • -4
    • Dkk4
    • Human
    • Kda
    • Protein
    • Family
    • Five
    • Vertebrates
    • Proteins

Connections between topic areas Semantic bridges

For Dickkopf, one of the stronger structural bridges in this analysis connects Dickkopf with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
DickkopfOverview · splits 22 ⟂ 11
DickkopfStructure · splits 26 ⟂ 7
DickkopfEtymology · splits 28 ⟂ 5
DickkopfProteins · splits 28 ⟂ 5
DickkopfHuman disease · splits 29 ⟂ 4

Map overview Semantic statistics

Dickkopf

Nodes33
Edges32
Triples16
Avg. degree1.94
Density0.060606
Components1

Source & methodology

TTTA analyzes the structure around Dickkopf to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Structure, Etymology & Proteins, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Dickkopf · EN edition · Analysis: TopicsToTalkAbout

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