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The CATH Protein Structure Classification database is a free, publicly available online resource that provides information on the evolutionary relationships of protein domains. It was created in the mid-1990s by Professor Christine Orengo and colleagues including Janet Thornton and David Jones, and continues to be developed by the Orengo group at…
The analysis highlights Hierarchical organization, Open-source software and Overview as prominent areas in the source structure around CATH database.
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 CATH database shows recurring relationship patterns in the source. For example, CATH database → CATH-B is released daily. Official releases are approximately annual. Another extracted example is CATH database → Protein Structure Classification. 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.
cath domains protein structure classification structural releases structures homologous superfamily database resource data university college london using level funfam publicly
TTTA extracted 9 structured relationships around CATH database. Examples in this analysis include CATH database → Data release frequency → CATH-B is released daily. Official releases are approximately annual. and CATH database → Description → Protein Structure Classification. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| CATH database | Data release frequency | CATH-B is released daily. Official releases are approximately annual. | 1.00 | infobox |
| CATH database | Description | Protein Structure Classification | 1.00 | infobox |
| CATH database | Download URL | cathdb.info/download | 1.00 | infobox |
| CATH database | Laboratory | Institute of Structural and Molecular Biology | 1.00 | infobox |
| CATH database | Primary citation | Dawson et al. (2016) | 1.00 | infobox |
| CATH database | Release date | 1997 | 1.00 | infobox |
| CATH database | Research center | University College London | 1.00 | infobox |
| CATH database | Version | 4.3 | 1.00 | infobox |
| CATH database | Website | cathdb.info | 1.00 | infobox |
The concept neighborhoods around CATH database bring nearby vocabulary together. In this analysis, examples include Structure, Domains and Classification. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For CATH database, one of the stronger structural bridges in this analysis connects CATH database with Hierarchical organization. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around CATH database to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Hierarchical organization, Open-source software & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — CATH database · EN edition · Analysis: TopicsToTalkAbout