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PROSITE: Overview, Related Topics & Entities

PROSITE is a protein database. It consists of entries describing the protein families, domains and functional sites as well as amino acid patterns and profiles in them. These are manually curated by a team of the Swiss Institute of Bioinformatics and tightly integrated into Swiss-Prot protein annotation. PROSITE was created in 1988 by Amos Bairoch, who…

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PROSITE topic overview

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

Related topics
17
Source areas
1
Connected nodes
18
Extracted relationships
6
Related term clusters
16
Bridge connections
18

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 · 17 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
PROSITE, a protein domain database for functional characterization and annotation.
Laboratory
Structural Biology and Bioinformatics Department
Release date
1988 (1988)
Research center
Swiss Institute of Bioinformatics

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PROSITE
8Sequence database · Protein families · Protein domains
5Gene · Sequence analysis · Sequence motif
4Substrate (biochemistry) · Cofactor (biochemistry) · Posttranslational

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

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How PROSITE connects Entity context

The extracted context around PROSITE shows recurring relationship patterns in the source. For example, PROSITE → PROSITE, a protein domain database for functional characterization and annotation. Another extracted example is PROSITE → Structural Biology and Bioinformatics Department. Use these groups to spot repeated connection types before inspecting the individual relationships.

PROSITE

Top relations

Description · 1
PROSITE → PROSITE, a protein domain database for functional characterization and annotation.
Laboratory · 1
PROSITE → Structural Biology and Bioinformatics Department
Release date · 1
PROSITE → 1988 (1988)
Research center · 1
PROSITE → Swiss Institute of Bioinformatics
Website · 1
PROSITE → prosite.expasy.org
is a · 1
PROSITE → protein database

Important terminology

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

Important terminology

protein database analysis annotation sites patterns information swiss-prot functional amino functions known biologically expasy see swiss institute bioinformatics 1988 domain

PROSITE relationships Subject–Predicate–Object triples

TTTA extracted 6 structured relationships around PROSITE. Examples in this analysis include PROSITE → Description → PROSITE, a protein domain database for functional characterization and annotation. and PROSITE → Laboratory → Structural Biology and Bioinformatics Department. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
PROSITEDescriptionPROSITE, a protein domain database for functional characterization and annotation.1.00infobox
PROSITELaboratoryStructural Biology and Bioinformatics Department1.00infobox
PROSITERelease date1988 (1988)1.00infobox
PROSITEResearch centerSwiss Institute of Bioinformatics1.00infobox
PROSITEWebsiteprosite.expasy.org1.00infobox
PROSITEis aprotein database0.90text

Related concept clusters Related term clusters

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

  • PROSITE
    • Database
    • Protein
    • Based
    • Data
    • Domain
    • Prorule
    • See
    • Website
    • Annotation
    • Functional
    • Patterns
    • Release
  • prosite
    • Database
    • Protein
    • Based
    • Data
    • Domain
    • Prorule
    • See
    • Website
    • Annotation
    • Functional
    • Patterns
    • Release
  • protein database
    • Prosite
    • Protein
    • Data
    • Domain
    • Prorule
    • Functional
    • See
    • Annotation
    • Patterns
    • Sites
    • Based
    • Domains
  • prosite patterns
    • Profiles
    • Database
    • Protein
    • Release
    • Well
    • Bioinformatics
    • Contain
    • Expasy
    • Institute
    • See
    • Swiss
    • Website
  • protein families
    • Functional
    • Sites
    • Well
    • Data
    • Part
    • Profiles
    • Patterns
    • Protein
    • See
    • Annotation
    • Bioinformatics
    • Domain
  • functional sites
    • Sites
    • Protein
    • Disulfide
    • Posttranslational
    • Well
    • Biologically
    • Contain
    • Data
    • Domain
    • Part
    • Profiles
    • Rules
  • swiss institute of bioinformatics
    • Bioinformatics
    • Institute
    • Swiss
    • Release
    • Contain
    • Entries
    • Expasy
    • Profiles
    • Swiss-prot
    • Website
    • Annotation
    • Patterns
  • amino acid
    • Consists
    • Describing
    • Well
    • Domains
    • Entries
    • Families
    • Profiles
    • Functional
    • Information
    • Patterns
    • Sites
    • Protein

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

PROSITE

Nodes19
Edges18
Triples6
Avg. degree1.89
Density0.105263
Components1

Source & methodology

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

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