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DEAD box proteins are involved in an assortment of metabolic processes that typically involve RNAs, but in some cases also other nucleic acids. They are highly conserved in nine motifs and can be found in most prokaryotes and eukaryotes, but not all. Many organisms, including humans, contain DEAD-box (SF2) helicases, which are involved in RNA metabolism.
The analysis highlights Biological functions, DEAD box family and Related families as prominent areas in the source structure around DEAD box.
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 DEAD box shows recurring relationship patterns in the source. For example, DEAD box → As, Brr213, DEAD, DEAH, DExD/H, Pre-mRNA, Prp16, Prp2, Prp22, Prp28, Prp43, Prp5, RNA, RNP, Sub2, There, U1, U2, U4, U5 Another extracted example is DEAD box → ATP, C-terminal, D-E-A-D, DEAD, II, III, IV, Motif, Motif II, MSS116, N-terminal, NTP, PL10, Q-motif, RNA, SrmB, The, There, VI, Walker. 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.
dead box proteins rna family also initiation deah found involved splicing translation protein metabolism conserved motifs helicases motif required nine
TTTA extracted 80 structured relationships around DEAD box. Examples in this analysis include DEAD box → AlphaFold → IPR011545 and DEAD box → AlphaFold → PF00270. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| DEAD box | AlphaFold | IPR011545 | 1.00 | infobox |
| DEAD box | AlphaFold | PF00270 | 1.00 | infobox |
| DEAD box | Available protein structures: | IPR011545 | 1.00 | infobox |
| DEAD box | Available protein structures: | PF00270 | 1.00 | infobox |
| DEAD box | CDD | cd00268 | 1.00 | infobox |
| DEAD box | InterPro | IPR011545 | 1.00 | infobox |
| DEAD box | PDB | IPR011545 PF00270 (ECOD; PDBsum) | 1.00 | infobox |
| DEAD box | Pfam | PF00270 | 1.00 | infobox |
| DEAD box | Pfam clan | CL0023 | 1.00 | infobox |
| DEAD box | PROSITE | PDOC00039 | 1.00 | infobox |
| DEAD box | SCOP2 | 1qva / SCOPe / SUPFAM | 1.00 | infobox |
| DEAD box | Symbol | DEAD | 1.00 | infobox |
The concept neighborhoods around DEAD box bring nearby vocabulary together. In this analysis, examples include Dead, Proteins and Translation. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For DEAD box, one of the stronger structural bridges in this analysis connects DEAD box with Biological functions. 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 DEAD box to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Biological functions, DEAD box family & Related families, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — DEAD box · EN edition · Analysis: TopicsToTalkAbout