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The Protein Common Interface Database (ProtCID) is a database of similar protein-protein interfaces in crystal structures of homologous proteins.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around ProtCID.
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 ProtCID shows recurring relationship patterns in the source. For example, ProtCID → Assemblies, Interfaces, PISA, Surfaces Another extracted example is ProtCID → Qifang Xu, Roland Dunbrack. 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.
interfaces protein crystal proteins common interface pdb forms interactions contain entries also homologous homodimeric pfam different chain sequence pkinase cyclin
TTTA extracted 11 structured relationships around ProtCID. Examples in this analysis include ProtCID → Authors → Qifang Xu, Roland Dunbrack and ProtCID → Description → Similar interactions of homologous proteins in multiple crystal forms. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| ProtCID | Authors | Qifang Xu, Roland Dunbrack | 1.00 | infobox |
| ProtCID | Description | Similar interactions of homologous proteins in multiple crystal forms | 1.00 | infobox |
| ProtCID | Laboratory | Institute for Cancer Research | 1.00 | infobox |
| ProtCID | Primary citation | Xu & Dunbrack (2011) | 1.00 | infobox |
| ProtCID | Release date | 2010 | 1.00 | infobox |
| ProtCID | Research center | Fox Chase Cancer Center | 1.00 | infobox |
| ProtCID | Website | http://dunbrack2.fccc.edu/protcid | 1.00 | infobox |
| ProtCID | related to External links | Interfaces | 0.60 | section |
| ProtCID | related to External links | Surfaces | 0.60 | section |
| ProtCID | related to External links | Assemblies | 0.60 | section |
| ProtCID | related to External links | PISA | 0.60 | section |
The concept neighborhoods around ProtCID bring nearby vocabulary together. In this analysis, examples include Crystal, Forms and Interactions. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the ProtCID map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around ProtCID 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 — ProtCID · EN edition · Analysis: TopicsToTalkAbout