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The eukaryotic initiation factor-4A (eIF4A) family consists of 3 closely related proteins EIF4A1, EIF4A2, and EIF4A3. These factors are required for the binding of mRNA to 40S ribosomal subunits. In addition these proteins are helicases that function to unwind double-stranded RNA.
The analysis highlights Measurement, Function and Background as prominent areas in the source structure around EIF4A.
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 EIF4A shows recurring relationship patterns in the source. For example, EIF4A → ADP, ATP, ATP-dependent RNA, AUG, Bi, For, Once, The, Together, UTR Another extracted example is EIF4A → Carruthers, Crystallographic, D-E-A-D, DEAD, II, III, RNA, The, This, Three. 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.
initiation translation proteins eukaryotic eif4f mrna binding eif4a1 rna complex factors 17 ribosomal protein 5’ family paralogs function p13 40s
TTTA extracted 45 structured relationships around EIF4A. Examples in this analysis include EIF4A → Alt. symbols → EIF4A and EIF4A → Domains → InterPro. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| EIF4A | Alt. symbols | EIF4A | 1.00 | infobox |
| EIF4A | Domains | InterPro | 1.00 | infobox |
| EIF4A | HGNC | 3282 | 1.00 | infobox |
| EIF4A | Locus | Chr. 17 p13 | 1.00 | infobox |
| EIF4A | NCBI gene | 1973 | 1.00 | infobox |
| EIF4A | OMIM | 602641 | 1.00 | infobox |
| EIF4A | RefSeq | NM_001416 | 1.00 | infobox |
| EIF4A | Search for | Search forStructuresSwiss-modelDomainsInterPro | 1.00 | infobox |
| EIF4A | Structures | Swiss-model | 1.00 | infobox |
| EIF4A | Symbol | EIF4A1 | 1.00 | infobox |
| EIF4A | UniProt | P60842 | 1.00 | infobox |
| EIF4A | is a | prototypical member of the DEAD box helicase family | 0.90 | text |
| EIF4A | is a | abundant cytoplasmic protein.Three isoforms | 0.90 | text |
The concept neighborhoods around EIF4A bring nearby vocabulary together. In this analysis, examples include Kda, Binding and Eif4f. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For EIF4A, one of the stronger structural bridges in this analysis connects EIF4A 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 EIF4A to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement, Function & Background, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — EIF4A · EN edition · Analysis: TopicsToTalkAbout