Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Sortase refers to a group of prokaryotic peptidases that modify surface proteins by recognizing and cleaving a carboxyl-terminal sorting signal. For most substrates of sortase enzymes, the recognition signal consists of the motif LPXTG (Leu-Pro-any-Thr-Gly), then a highly hydrophobic transmembrane sequence, followed by a cluster of basic residues such as…
The analysis highlights Applications, Pharmaceutic Applications and Structure as prominent areas in the source structure around Sortase.
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 Sortase shows recurring relationship patterns in the source. For example, Sortase → Another, Different, LAXTG, LPXSG, LPXTG, NPQTN, SrtA, SrtB, The, These, This, To Another extracted example is Sortase → C-terminus, LPXTG, N-terminus, NMR, The, This, Upon, X-ray. 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.
proteins protein surface motif sortases enzyme cell variants aureus binding bacteria wall srta adcs lpxtg site signal reaction group used
TTTA extracted 55 structured relationships around Sortase. Examples in this analysis include Sortase → AlphaFold → IPR005754 and Sortase → AlphaFold → PF04203. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Sortase | AlphaFold | IPR005754 | 1.00 | infobox |
| Sortase | AlphaFold | PF04203 | 1.00 | infobox |
| Sortase | Available protein structures: | IPR005754 | 1.00 | infobox |
| Sortase | Available protein structures: | PF04203 | 1.00 | infobox |
| Sortase | CDD | cd00004 | 1.00 | infobox |
| Sortase | InterPro | IPR005754 | 1.00 | infobox |
| Sortase | OPM protein | 1rz2 | 1.00 | infobox |
| Sortase | OPM superfamily | 294 | 1.00 | infobox |
| Sortase | PDB | IPR005754 PF04203 (ECOD; PDBsum) | 1.00 | infobox |
| Sortase | Pfam | PF04203 | 1.00 | infobox |
| Sortase | SCOP2 | 1ija / SCOPe / SUPFAM | 1.00 | infobox |
| Sortase | Symbol | Sortase | 1.00 | infobox |
| Sortase | is a | transpeptidase that attaches surface proteins to the cell wall | 0.90 | text |
The concept neighborhoods around Sortase bring nearby vocabulary together. In this analysis, examples include Enzyme, Motif and Protein. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Sortase, one of the stronger structural bridges in this analysis connects Sortase with Overview. 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 Sortase to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Pharmaceutic Applications & Structure, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Sortase · EN edition · Analysis: TopicsToTalkAbout