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Cache domain: Measurement & Overview

In molecular biology, the cache domain is an extracellular protein domain that is predicted to have a role in small-molecule recognition in a wide range of proteins, including the animal dihydropyridine-sensitive voltage-gated Ca2+ channel alpha-2delta subunit, and various bacterial chemotaxis receptors. The name Cache comes from CAlcium channels and…

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Cache domain topic overview

The analysis highlights Measurement and Overview as prominent areas in the source structure around Cache domain.

Related topics
18
Source areas
1
Connected nodes
19
Extracted relationships
11
Concept neighborhoods
16
Bridge connections
19

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 · 18 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.

AlphaFold
IPR004010 · PF02743
Available protein structures:
IPR004010 · PF02743
InterPro
IPR004010
PDB
IPR004010 PF02743 (ECOD; PDBsum)
Pfam
PF02743
Pfam clan
CL0165

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

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 Cache domain connects Entity context

The extracted context around Cache domain shows recurring relationship patterns in the source. For example, Cache domain → IPR004010, PF02743 Another extracted example is Cache domain → IPR004010. Use these groups to spot repeated connection types before inspecting the individual relationships.

Cache domain

Top relations

AlphaFold · 2
Cache domain → IPR004010, PF02743
Available protein structures: · 2
Cache domain → IPR004010, PF02743
InterPro · 1
Cache domain → IPR004010
PDB · 1
Cache domain → IPR004010 PF02743 (ECOD; PDBsum)
Pfam · 1
Cache domain → PF02743
Pfam clan · 1
Cache domain → CL0165
Symbol · 1
Cache domain → Cache_1
is a · 1
Cache domain → extracellular protein domain that is predicted to have a role in small-molecule recognition in a wide range of proteins

Important terminology

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

Important terminology

cache domain predicted extracellular animal bacterial chemotaxis receptors n-terminal domains channel alpha-2delta calcium part three strands protein alpha-helix dyad structure

Cache domain relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around Cache domain. Examples in this analysis include Cache domain → AlphaFold → IPR004010 and Cache domain → AlphaFold → PF02743. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Cache domainAlphaFoldIPR0040101.00infobox
Cache domainAlphaFoldPF027431.00infobox
Cache domainAvailable protein structures:IPR0040101.00infobox
Cache domainAvailable protein structures:PF027431.00infobox
Cache domainInterProIPR0040101.00infobox
Cache domainPDBIPR004010 PF02743 (ECOD; PDBsum)1.00infobox
Cache domainPfamPF027431.00infobox
Cache domainPfam clanCL01651.00infobox
Cache domainSymbolCache_11.00infobox
Cache domainis aextracellular protein domain that is predicted to have a role in small-molecule recognition in a wide range of proteins0.90text
Vibrio choleraeinstance ofCache domains are particularly widespread in bacteria0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Cache domain bring nearby vocabulary together. In this analysis, examples include N-terminal, Strands and Three. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Cache domain
    • N-terminal
    • Strands
    • Three
    • Domain
    • Chemotaxis
    • Protein
    • Receptors
    • Predicted
    • Alpha-helix
    • Consists
    • Dyad
    • Ca2
  • cache domain
    • Predicted
    • N-terminal
    • Strands
    • Three
    • Domain
    • Chemotaxis
    • Protein
    • Receptors
    • Ca2
    • Dihydropyridine-sensitive
    • Dyad
    • Fold
  • extracellular
    • Alpha-2delta
    • Animal
    • Bacterial
    • Channel
    • Ca2
    • Dihydropyridine-sensitive
    • Including
    • Molecular
    • Proteins
    • Range
    • Recognition
    • Role
  • animal
    • Alpha-2delta
    • Bacterial
    • Channel
    • Extracellular
    • Biology
    • Ca2
    • Dihydropyridine-sensitive
    • Including
    • Molecular
    • Proteins
    • Range
    • Recognition
  • ca2+ channel
    • Alpha-2delta
    • Bacterial
    • Dihydropyridine-sensitive
    • Extracellular
    • Including
    • Molecular
    • Proteins
    • Range
    • Recognition
    • Role
    • Small-molecule
    • Subunit
  • bacterial
    • Channel
    • Extracellular
    • Biology
    • Ca2
    • Dihydropyridine-sensitive
    • Including
    • Molecular
    • Proteins
    • Range
    • Recognition
    • Role
    • Small-molecule
  • pas domain
    • Predicted
    • N-terminal
    • Strands
    • Three
    • Alpha-helix
    • Ca2
    • Consists
    • Dihydropyridine-sensitive
    • Dyad
    • Fold
    • Including
    • Molecular
  • chemotaxis
    • Receptors
    • Channels
    • Comes
    • Dihydropyridine-sensitive
    • Including
    • Molecular
    • Name
    • Proteins
    • Range
    • Recognition
    • Role
    • Small-molecule

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Cache domain map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Cache domain

Nodes20
Edges19
Triples11
Avg. degree1.9
Density0.1
Components1

Source & methodology

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

Source: Wikipedia — Cache domain · EN edition · Analysis: TopicsToTalkAbout

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