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Lorazepam (INN, systematický název (RS)-9-chlor-6-(2-chlorfenyl)-4-hydroxy-2,5-diazabicykloundeka-5,8,10,12-tetraen-3-on), známý i pod obchodními značkami Ativan a Temesta, je vysoce potentní krátko- až střednědobě působící benzodiazepin (z podskupiny 3-hydroxybenzodiazepinů), disponující anxiolytickým, amnestickým, sedativním, hypnotickým…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Lorazepam.
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 Lorazepam shows recurring relationship patterns in the source. For example, Lorazepam → Ashton, Ashton Manual, August, Behavior, Benzodiazepines, Central Police University Press, Drug Information Portal, Drummer, Effects, How, How They Work And, Human Performance, Medicine, National Library, Obrázky, OH, The, Wikimedia Commonsinchem, Withdraw Another extracted example is Lorazepam → CHEMBL580. 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.
inn název status epilepticus datové položky data benzodiazepin 3-hydroxybenzodiazepinů anxiolytickým amnestickým sedativním hypnotickým antikonvulzivním myorelaxačním úzkosti nespavosti křečí sedaci org
TTTA extracted 30 structured relationships around Lorazepam. Examples in this analysis include Lorazepam → ChEMBL ID → CHEMBL580 and Lorazepam → ChemSpider ID → 3821. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Lorazepam | ChEMBL ID | CHEMBL580 | 1.00 | infobox |
| Lorazepam | ChemSpider ID | 3821 | 1.00 | infobox |
| Lorazepam | InChI | InChI=1S/C15H10Cl2N2O2/c16-8-5-6-12-10(7-8)13(19-15(21)14(20)18-12)9-3-1-2-4-11(9)17/h1-7,15,21H,(H,18,20) | 1.00 | infobox |
| Lorazepam | Indikace | neurotická porucha, schizophreniform disorder, insomnie, úzkostná porucha, parciální epilepsie, status epilepticus, zvracení, katatonie, zneužívání návykových látek, sleep-wake… | 1.00 | infobox |
| Lorazepam | Molární hmotnost | 320,011 933 Da | 1.00 | infobox |
| Lorazepam | Název (INN) | lorazepam (angličtina) | 1.00 | infobox |
| Lorazepam | PubChem | 3958 | 1.00 | infobox |
| Lorazepam | SMILES | C1=CC=C(C(=C1)C2=NC(C(=O)NC3=C2C=C(C=C3)Cl)O)Cl | 1.00 | infobox |
| Lorazepam | Sumární vzorec | C₁₅H₁₀Cl₂N₂O₂ | 1.00 | infobox |
| Lorazepam | Číslo CAS | 846-49-1 | 1.00 | infobox |
| Lorazepam | related to Externí odkazy | Obrázky | 0.60 | section |
| Lorazepam | related to Externí odkazy | Wikimedia Commonsinchem | 0.60 | section |
The concept neighborhoods around Lorazepam bring nearby vocabulary together. In this analysis, examples include Data, Název and -4-hydroxy-2. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Lorazepam, one of the stronger structural bridges in this analysis connects Lorazepam 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 Lorazepam to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Lorazepam · CS edition · Analysis: TopicsToTalkAbout