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Separase, also known as separin, is a cysteine protease responsible for triggering anaphase by hydrolysing cohesin, which is the protein responsible for binding sister chromatids during the early stage of anaphase. In humans, separin is encoded by the ESPL1 gene.
The analysis highlights History, Function and Regulation as prominent areas in the source structure around Separase.
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 Separase shows recurring relationship patterns in the source. For example, Separase → Active, APC-Cdc20, CDK, CDK1, CDK1-cyclin, CDK1-cyclin B1, However, In, Note, On, Regulation, Scc1, Securin, This, When Another extracted example is Separase → Esp1, In, One, Pds1, RAD21, SCC1, Stable, STAG1, STAG2, The. 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.
securin cohesin sister anaphase chromatids complex binding separin protein esp1 scc1 proteins gene cdk1-cyclin cohesion separation chromatid phosphorylation two substrate
TTTA extracted 53 structured relationships around Separase. Examples in this analysis include Separase → BRENDA → enzyme data and Separase → CAS no. → 351527-77-0. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Separase | BRENDA | enzyme data | 1.00 | infobox |
| Separase | CAS no. | 351527-77-0 | 1.00 | infobox |
| Separase | EC no. | 3.4.22.49 | 1.00 | infobox |
| Separase | ExPASy | NiceZyme view | 1.00 | infobox |
| Separase | KEGG | enzyme entry | 1.00 | infobox |
| Separase | MetaCyc | metabolic pathway | 1.00 | infobox |
| Separase | NCBI | proteins | 1.00 | infobox |
| Separase | PDB structures | RCSB PDB PDBe PDBsum | 1.00 | infobox |
| Separase | PMC | articles | 1.00 | infobox |
| Separase | PubMed | articles | 1.00 | infobox |
| Separase | Rhea | reactions | 1.00 | infobox |
| Separase | Search | SearchPMCarticlesPubMedarticlesNCBIproteins | 1.00 | infobox |
The concept neighborhoods around Separase bring nearby vocabulary together. In this analysis, examples include Securin, Anaphase and Complex. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Separase, one of the stronger structural bridges in this analysis connects Separase 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 Separase to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Function & Regulation, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Separase · EN edition · Analysis: TopicsToTalkAbout