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MatrixDB: Overview, Related Topics & Entities

MatrixDB is a biological database focused on molecular interactions between extracellular proteins and polysaccharides. MatrixDB takes into account the multimeric nature of the extracellular proteins (for example, collagens, laminins and thrombospondins are multimers). The database was initially released in 2009 and is maintained by the research group of…

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MatrixDB topic overview

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

Related topics
13
Source areas
1
Connected nodes
14
Extracted relationships
10
Concept neighborhoods
12
Bridge connections
14

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 · 13 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.

Authors
Emilie Chautard, Guillaume Launay, Nicolas Thierry-Mieg, Romain Salza, Franck Peysselon, Marie Fatoux-Ardore, Sofiane Badaoui, Sylvain Vallet, Lionel Ballut, Dorian Multedo, Syl…
Data types captured
Interactions DataBase, Biochemestry, Biacore, SPR
Description
extracellular matrix interactions database.
Laboratory
IBCP - UMR5086 CNRS / Univ Lyon1 - FRANCE
Organisms
All (Human only possible)
Standards
PSI-MI

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 MatrixDB connects Entity context

The extracted context around MatrixDB shows recurring relationship patterns in the source. For example, MatrixDB → active member of the International Molecular Exchange Consortium, biological database focused on molecular interactions between extracellular proteins and polysaccharides Another extracted example is MatrixDB → Emilie Chautard, Guillaume Launay, Nicolas Thierry-Mieg, Romain Salza, Franck Peysselon, Marie Fatoux-Ardore, Sofiane Badaoui, Sylvain Vallet, Lionel Ballut, Dorian Multedo, Syl…. Use these groups to spot repeated connection types before inspecting the individual relationships.

MatrixDB

Top relations

is a · 2
MatrixDB → active member of the International Molecular Exchange Consortium, biological database focused on molecular interactions between extracellular proteins and polysaccharides
Authors · 1
MatrixDB → Emilie Chautard, Guillaume Launay, Nicolas Thierry-Mieg, Romain Salza, Franck Peysselon, Marie Fatoux-Ardore, Sofiane Badaoui, Sylvain Vallet, Lionel Ballut, Dorian Multedo, Syl…
Data types captured · 1
MatrixDB → Interactions DataBase, Biochemestry, Biacore, SPR
Description · 1
MatrixDB → extracellular matrix interactions database.
Laboratory · 1
MatrixDB → IBCP - UMR5086 CNRS / Univ Lyon1 - FRANCE
Organisms · 1
MatrixDB → All (Human only possible)
Primary citation · 1
MatrixDB → .mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r…
Standards · 1
MatrixDB → PSI-MI
Website · 1
MatrixDB → http://matrixdb.univ-lyon1.fr

Important terminology

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

Important terminology

interaction database extracellular data imex proteins molecular databases human interactions group protein also consortium sylvie ricard-blum http univ-lyon1 fr polysaccharides

MatrixDB relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around MatrixDB. Examples in this analysis include MatrixDB → Authors → Emilie Chautard, Guillaume Launay, Nicolas Thierry-Mieg, Romain Salza, Franck Peysselon, Marie Fatoux-Ardore, Sofiane Badaoui, Sylvain Vallet, Lionel Ballut, Dorian Multedo, Syl… and MatrixDB → Data types captured → Interactions DataBase, Biochemestry, Biacore, SPR. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
MatrixDBAuthorsEmilie Chautard, Guillaume Launay, Nicolas Thierry-Mieg, Romain Salza, Franck Peysselon, Marie Fatoux-Ardore, Sofiane Badaoui, Sylvain Vallet, Lionel Ballut, Dorian Multedo, Syl…1.00infobox
MatrixDBData types capturedInteractions DataBase, Biochemestry, Biacore, SPR1.00infobox
MatrixDBDescriptionextracellular matrix interactions database.1.00infobox
MatrixDBLaboratoryIBCP - UMR5086 CNRS / Univ Lyon1 - FRANCE1.00infobox
MatrixDBOrganismsAll (Human only possible)1.00infobox
MatrixDBPrimary citation.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r…1.00infobox
MatrixDBStandardsPSI-MI1.00infobox
MatrixDBWebsitehttp://matrixdb.univ-lyon1.fr1.00infobox
MatrixDBis abiological database focused on molecular interactions between extracellular proteins and polysaccharides0.90text
MatrixDBis aactive member of the International Molecular Exchange Consortium0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around MatrixDB bring nearby vocabulary together. In this analysis, examples include Extracellular, Human and Proteins. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • MatrixDB
    • Extracellular
    • Human
    • Proteins
    • Data
    • Interactions
    • Protein
    • Molecular
    • Imex
    • Interaction
    • Account
    • Collagens
    • Example
  • matrixdb
    • Extracellular
    • Human
    • Proteins
    • Data
    • Interactions
    • Protein
    • Molecular
    • Imex
    • Interaction
    • Account
    • Collagens
    • Example
  • extracellular
    • Proteins
    • Matrixdb
    • Interactions
    • Human
    • Data
    • Account
    • Collagens
    • Example
    • Focused
    • Laminins
    • Multimeric
    • Multimers
  • biological database
    • Focused
    • Polysaccharides
    • Extracellular
    • Interactions
    • Ricard-blum
    • Sylvie
    • Matrixdb
    • Databases
    • Human
    • Molecular
    • Proteins
    • Data
  • human protein reference database
    • Protein
    • Extracellular
    • Matrixdb
    • Unigene
    • Interactions
    • Ricard-blum
    • Sylvie
    • Data
    • Databases
    • Human
    • Molecular
    • Proteins
  • human protein atlas
    • Protein
    • Matrixdb
    • Unigene
    • Data
    • Databases
    • Interactions
    • Proteins
    • Ricard-blum
    • Sylvie
    • Imex
    • Interaction
  • proteins
    • Multimers
    • Takes
    • Thrombospondins
    • Protein
    • Databases
    • Human
    • Imex
    • Data
    • Interaction
  • international molecular exchange
    • Biogrid
    • Polysaccharides
    • Interaction
    • Consortium
    • Group
    • Databases
    • Proteins
    • Imex
    • Data

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

MatrixDB

Nodes15
Edges14
Triples10
Avg. degree1.87
Density0.133333
Components1

Source & methodology

TTTA analyzes the structure around MatrixDB 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 — MatrixDB · EN edition · Analysis: TopicsToTalkAbout

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