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Ketamin je léčivo používané v humánní i veterinární medicíně jako anestetikum např. pod obchodními názvy Ketanest, Ketaset, Ketalar, Narkamon a Calypsol. Působí jako antagonista NMDA receptorů, ve vysokých, plně anestetických dávkách obsazuje i opioidní receptory a sigma-receptory. Podobně jako fencyklidin (PCP) vyvolává stavy nazývané disociativní…
The analysis highlights Využití v medicíně, Historie and Rekreační zneužívání as prominent areas in the source structure around Ketamin.
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 Ketamin shows recurring relationship patterns in the source. For example, Ketamin → Aleš, Anna, DOI, Dostupné, HOLUBOVÁ, HORÁČEK, ISSN, Jan, Jiří, Karel, KLETEČKOVÁ, Kristína, Lenka, LIPSKI, Martina, Michaela, Možnosti, Peter, Psychiatrie, Psychopharmacology Another extracted example is Ketamin → Je, Lze, Myorelaxace, Mírně, Na, Spolehlivého, To, Tyto, USA, Ve, Zkoumá. 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.
jako ketaminu medicíně ketamine anestetikum např méně roč issn humánní disociativní účinku rekreační 10 látek názvy ketanest ketaset ketalar droga
TTTA extracted 81 structured relationships around Ketamin. Examples in this analysis include Ketamin → Biologický poločas → 2,5–3 hodiny and Ketamin → ChEMBL ID → CHEMBL742. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ketamin | Biologický poločas | 2,5–3 hodiny | 1.00 | infobox |
| Ketamin | ChEMBL ID | CHEMBL742 | 1.00 | infobox |
| Ketamin | ChemSpider ID | 3689 | 1.00 | infobox |
| Ketamin | Další názvy | Ketanest, Ketaset, Ketalar | 1.00 | infobox |
| Ketamin | Disociační konstanta | 7,5 | 1.00 | infobox |
| Ketamin | InChI | InChI=1S/C13H16ClNO/c1-15-13(9-5-4-8-12(13)16)10-6-2-3-7-11(10)14/h2-3,6-7,15H,4-5,8-9H2,1H3 | 1.00 | infobox |
| Ketamin | Indikace | bolest a zneužívání návykových látek | 1.00 | infobox |
| Ketamin | Klasifikace ATC | N01AX03 | 1.00 | infobox |
| Ketamin | Metabolismus | játra (CYP3A4) | 1.00 | infobox |
| Ketamin | Molární hmotnost | 237,72 g/mol | 1.00 | infobox |
| Ketamin | Název (INN) | Ketamine | 1.00 | infobox |
| Ketamin | Název podle IUPAC | (RS)-2-(2-chlorfenyl)-2-(methylamino)cyklohexanon | 1.00 | infobox |
| Ketamin | PubChem | 3821 | 1.00 | infobox |
| Ketamin | SMILES | CNC1(CCCCC1=O)C2=CC=CC=C2Cl | 1.00 | infobox |
| Ketamin | Sumární vzorec | C13H16ClNO | 1.00 | infobox |
| Ketamin | Teplota tání | 262 °C | 1.00 | infobox |
| Ketamin | Vylučování | ledvinami (>90 %) | 1.00 | infobox |
| Ketamin | Číslo CAS | 6740-88-1 | 1.00 | infobox |
The concept neighborhoods around Ketamin bring nearby vocabulary together. In this analysis, examples include Medicíně, Jako and Ketalar. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Ketamin, one of the stronger structural bridges in this analysis connects Ketamin 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 Ketamin to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Využití v medicíně, Historie & Rekreační zneužívání, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Ketamin · CS edition · Analysis: TopicsToTalkAbout