Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
SR proteins are a conserved family of proteins involved in RNA splicing. SR proteins are named because they contain a protein domain with long repeats of serine and arginine amino acid residues, whose standard abbreviations are "S" and "R" respectively. SR proteins are ~200-600 amino acids in length and composed of two domains, the RNA recognition motif…
The analysis highlights History, Geography and Standards as prominent areas in the source structure around SR protein. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
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 SR protein shows recurring relationship patterns in the source. For example, SR protein → B52, C-terminal, DNA, Drosophila, II, RNA, SF2/ASF, SR, SRp20, SRp40, SRp55, SRp75, SWAP, The, This, Tra, Tra-2 Another extracted example is SR protein → Based, C-terminal, Eight, From NMR, N-terminus, RNA, RRM, RRMH, RS, SR, SRSF1, The, The RRM, The RRMH, The RS. 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.
sr proteins splicing rna domain protein nucleus mrna rs splice pre-mrna asf also translation sf2 bind exon ii alternative transcript
TTTA extracted 120 structured relationships around SR protein. Examples in this analysis include SR protein → related to Cancer → Several SR and SR protein → related to Cancer → Elevated. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SR protein | related to Cancer | Several SR | 0.60 | section |
| SR protein | related to Cancer | Elevated | 0.60 | section |
| SR protein | related to Cancer | SF2/ASF | 0.60 | section |
| SR protein | related to Cancer | SC35 | 0.60 | section |
| SR protein | related to Cancer | SRp20 | 0.60 | section |
| SR protein | related to Cancer | SFRS1 | 0.60 | section |
| SR protein | related to Cancer | Mutations | 0.60 | section |
| SR protein | related to Cancer | ESE | 0.60 | section |
| SR protein | related to Cancer | BRCA1 | 0.60 | section |
| SR protein | related to Diseases | Genetic | 0.60 | section |
| SR protein | related to Diseases | SR | 0.60 | section |
| SR protein | related to Diseases | Mutations | 0.60 | section |
The concept neighborhoods around SR protein bring nearby vocabulary together. In this analysis, examples include Domain, Sr and Nucleus. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For SR protein, one of the stronger structural bridges in this analysis connects SR protein with Function. 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 SR protein to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — SR protein · EN edition · Analysis: TopicsToTalkAbout