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Cryptochromes (from the Greek κρυπτός χρώμα, "hidden colour") are a class of flavoproteins found in plants and animals that are sensitive to blue light. They are involved in the circadian rhythms and the sensing of magnetic fields in a number of species. The name cryptochrome was proposed as a portmanteau combining the chromatic nature of the…
The analysis highlights History, Evolutionary history and Function as prominent areas in the source structure around Cryptochrome.
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 Cryptochrome shows recurring relationship patterns in the source. For example, Cryptochrome → Animated, Arabidopsis, Computational Biophysics Group, CryOverview, Department, Illinois, Magnetic Sensing, MassachusettsCryptochrome, Medicine Medical Subject Headings, MeSH, Monarch Butterflies Archived, Mouse Cryptochrome-1, National Library, Neurobiology, P97784, PDB, PDBe-KB, Protein Data Bank, Reppert, Steven Another extracted example is Cryptochrome → Arabidopsis, By, C-terminal, Cry, CRY1, CRY2, Cryptochromes, Despite, Drosophila, Due, In, PER, SCN, Studies, T-DNA, The, The Drosophila, These, TIM, UV-induced DNA. 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.
light cry circadian cry1 cryptochromes gene proteins drosophila cry2 photolyase protein clock photoreceptor blue flavin transcription also genes levels role
TTTA extracted 155 structured relationships around Cryptochrome. Examples in this analysis include Cryptochrome → Domains → InterPro and Cryptochrome → HGNC → 2384. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Cryptochrome | Domains | InterPro | 1.00 | infobox |
| Cryptochrome | HGNC | 2384 | 1.00 | infobox |
| Cryptochrome | Locus | Chr. 12 q23.3 | 1.00 | infobox |
| Cryptochrome | NCBI gene | 1407 | 1.00 | infobox |
| Cryptochrome | OMIM | 601933 | 1.00 | infobox |
| Cryptochrome | PDB | 5T5X | 1.00 | infobox |
| Cryptochrome | RefSeq | NP_004066 | 1.00 | infobox |
| Cryptochrome | Search for | Search forStructuresSwiss-modelDomainsInterPro | 1.00 | infobox |
| Cryptochrome | Structures | Swiss-model | 1.00 | infobox |
| Cryptochrome | Symbol | CRY1 | 1.00 | infobox |
| Cryptochrome | UniProt | Q16526 | 1.00 | infobox |
| ELONGATED HYPOCOTYL 5 | instance of | The interaction inhibits COP1 activity and allows transcription factors | 0.80 | text |
The concept neighborhoods around Cryptochrome bring nearby vocabulary together. In this analysis, examples include Proteins, Photolyase and Drosophila. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Cryptochrome, one of the stronger structural bridges in this analysis connects Cryptochrome 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 Cryptochrome to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Evolutionary history & Function, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Cryptochrome · EN edition · Analysis: TopicsToTalkAbout