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Atropin je tropanový alkaloid, který má anticholinergní (například halucinogenní) účinky. Je obsažený v rostlinách z čeledi lilkovitých (Solanaceae) např.: rulík zlomocný (Atropa belladonna), blín černý, durman nebo mandragora lékařská. Atropin je racemická směs enantiomerů hyoscyaminu. Poprvé byl izolován roku 1833. V medicíně má více užití, ovlivňujeme…
The analysis highlights Účinky na organismus, Využití and Overview as prominent areas in the source structure around Atropin.
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 Atropin shows recurring relationship patterns in the source. For example, Atropin → Intoxikace, Je-li, Jednotlivé, Mimo, Následuje, Občas, Po, Smrtelná, Terapeutické, Toxická Another extracted example is Atropin → Dostupné, Obrázky, Wikimedia Commons Slovníkové, WikislovníkuInformace, Zikmundová. 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.
atropinu například účinky jako mg srdeční rulíku dávka lékařství stp durman 100 ostatní belladona rozšíření zornic zvyšuje mnohem používá rulík
TTTA extracted 32 structured relationships around Atropin. Examples in this analysis include Atropin → EC-no (EINECS/ELINCS/NLP) → 200-104-8 and Atropin → H-věty → H330 H300. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Atropin | EC-no (EINECS/ELINCS/NLP) | 200-104-8 | 1.00 | infobox |
| Atropin | H-věty | H330 H300 | 1.00 | infobox |
| Atropin | Indexové číslo | 614-010-00-3 | 1.00 | infobox |
| Atropin | Molární hmotnost | 289,4 g/mol | 1.00 | infobox |
| Atropin | Ostatní názvy | 1αH,5αH-tropan-3α-yl-(2RS)-2-fenyl-3-hydroxypropanoát | 1.00 | infobox |
| Atropin | R-věty | R26/28 | 1.00 | infobox |
| Atropin | Registrační číslo CAS | 51-55-8 | 1.00 | infobox |
| Atropin | S-věty | (S1/2) S25 S45 | 1.00 | infobox |
| Atropin | Sumární vzorec | C17H23NO3 | 1.00 | infobox |
| Atropin | Systematický název | (1R,3r,5S)-8-methyl-8-azabicyklo[3.2.1]oktan-3-yl-(2RS)-2-fenyl-3-hydroxypropanoát | 1.00 | infobox |
| Atropin | Teplota tání | 117 °C | 1.00 | infobox |
| Atropin | related to Externí odkazy | Obrázky | 0.60 | section |
The concept neighborhoods around Atropin bring nearby vocabulary together. In this analysis, examples include Jako, Lékařství and Používá. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Atropin, one of the stronger structural bridges in this analysis connects Atropin with Účinky na organismus. 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 Atropin to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Účinky na organismus, Využití & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Atropin · CS edition · Analysis: TopicsToTalkAbout