Domine Database

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

Domine Database topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Domine Database.

Related topics: 4
Source areas: 1
Connected nodes: 5
Extracted relationships: 7
Concept neighborhoods: 6
Bridge connections: 5

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 · 4 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.

Description: comprehensive collection of known and predicted domain-domain interactions.
Laboratory: Systems Biology
Primary citation: Yellaboina et al. (2011)
Release date: 2010
Research center: National Institute of Environmental Health Sciences, National Institutes of Health

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

Database
Domains Protein domain
PDB Protein data bank
Pfam

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 Domine Database connects Entity context

The extracted context around Domine Database shows recurring relationship patterns in the source. For example, Domine Database → comprehensive collection of known and predicted domain-domain interactions. Another extracted example is Domine Database → Systems Biology. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

Description · 1

Domine Database → comprehensive collection of known and predicted domain-domain interactions.

Laboratory · 1

Domine Database → Systems Biology

Primary citation · 1

Domine Database → Yellaboina et al. (2011)

Release date · 1

Domine Database → 2010

Research center · 1

Domine Database → National Institute of Environmental Health Sciences, National Institutes of Health

Website · 1

Domine Database → https://manticore.niehs.nih.gov/domine

see also · 1

Domine Database → DOMINE

Important terminology

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

Important terminology

domine interactions database known predicted pdb protein domain contains domain-domain pfam domains observed crystal structures several computational approaches uses hmm

Domine Database relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around Domine Database. Examples in this analysis include Domine Database → Description → comprehensive collection of known and predicted domain-domain interactions. and Domine Database → Laboratory → Systems Biology. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Domine Database	Description	comprehensive collection of known and predicted domain-domain interactions.	1.00	infobox
Domine Database	Laboratory	Systems Biology	1.00	infobox
Domine Database	Primary citation	Yellaboina et al. (2011)	1.00	infobox
Domine Database	Release date	2010	1.00	infobox
Domine Database	Research center	National Institute of Environmental Health Sciences, National Institutes of Health	1.00	infobox
Domine Database	Website	https://manticore.niehs.nih.gov/domine	1.00	infobox
Domine Database	see also	DOMINE	0.60	section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Domine Database bring nearby vocabulary together. In this analysis, examples include Domine, Known and Interactions. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Domine Database
- Domine
- Known
- Interactions
- Domain
- Domain-domain
- Protein
- Predicted
- Also
- Among
- Data
- Definitions
- Domains
domine database
- Domine
- Known
- Interactions
- Domain
- Domain-domain
- Protein
- Among
- Data
- Domains
- Includes
- Inferred
- Predicted
database
- Domine
- Known
- Interactions
- Among
- Data
- Domains
- Includes
- Inferred
- Structure
- Contains
- Domain
- Domain-domain
pdb
- Among
- Data
- Domains
- Includes
- Inferred
- Several
- Structure
- Structures
- Predicted
domains
- Data
- Includes
- Inferred
- Structure
- Pdb
- Known
- Interactions
- Domine
pfam
- Hmm
- Profiles
- Uses
- Protein

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

Domine Database

Nodes6

Edges5

Triples7

Avg. degree1.67

Density0.333333

Components1

Source & methodology

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

Source: Wikipedia — Domine Database · EN edition · Analysis: TopicsToTalkAbout