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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…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around PROSITE.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around PROSITE shows recurring relationship patterns in the source. For example, PROSITE → InterPro, Protein, Uniprot Another extracted example is PROSITE → PROSITE, a protein domain database for functional characterization and annotation.. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
protein database analysis annotation sites patterns information swiss-prot functional amino functions known biologically expasy see swiss institute bioinformatics 1988 domain
TTTA extracted 11 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.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| PROSITE | Description | PROSITE, a protein domain database for functional characterization and annotation. | 1.00 | infobox |
| PROSITE | Laboratory | Structural Biology and Bioinformatics Department | 1.00 | infobox |
| PROSITE | Primary 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… | 1.00 | infobox |
| PROSITE | Release date | 1988 (1988) | 1.00 | infobox |
| PROSITE | Research center | Swiss Institute of Bioinformatics | 1.00 | infobox |
| PROSITE | Website | prosite.expasy.org | 1.00 | infobox |
| PROSITE | is a | protein database | 0.90 | text |
| PROSITE | related to External links | Official | 0.60 | section |
| PROSITE | see also | Uniprot | 0.60 | section |
| PROSITE | see also | InterPro | 0.60 | section |
| PROSITE | see also | Protein | 0.60 | section |
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.
Bridges highlight paths between different parts of the PROSITE map and can reveal research angles that are easy to miss in a flat list.
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