Research any topic before you write.

Find related topics.Discover entities.See connections.Build a topical map.

Cache domain

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…

[EN, English, English]

Measurement & Overview

Interactive map loads when it comes into view.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Cache domain. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

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

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. 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.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Cache domain

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

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

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 Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

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

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
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

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.