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Makrolidy jsou skupinou léčiv, převážně antibiotik, jejichž aktivita je založena na přítomnosti makrocyklického laktonového kruhu (prstenu), který je svázan s jedním či více deoxidovaných sacharidů (obvykle desosamin – 3,4,6-trideoxy-3-dimethylamino-D-xylo-hexosa a kladinóza – 2,6-dideoxy-3-C-methyl-3-O-methyl-L-ribo-hexosa). Laktonový kruh je obvykle…
The analysis highlights Skupiny makrolidů, Využití makrolidů and Vedlejší účinky as prominent areas in the source structure around Makrolidy.
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 Makrolidy shows recurring relationship patterns in the source. For example, Makrolidy → AUG, Další, Farmakokinetika, Jejich, Na, Navíc, P-místo Another extracted example is Makrolidy → Chlamydia, Haemophilus, Legionella, Makrolidová, Podobně, Streptococcus, Vzhledem. 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.
jsou makrolidů rezistence klarithromycin jako makrolidová antibiotika antibiotik ketolidy mohou léčbě může náleží obvykle účinku dýchacích to případě zejména ribozomu
TTTA extracted 34 structured relationships around Makrolidy. Examples in this analysis include Makrolidy → related to Antibiotický účinek → Jejich and Makrolidy → related to Antibiotický účinek → AUG. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Makrolidy | related to Antibiotický účinek | Jejich | 0.60 | section |
| Makrolidy | related to Antibiotický účinek | AUG | 0.60 | section |
| Makrolidy | related to Antibiotický účinek | Navíc | 0.60 | section |
| Makrolidy | related to Antibiotický účinek | Na | 0.60 | section |
| Makrolidy | related to Antibiotický účinek | P-místo | 0.60 | section |
| Makrolidy | related to Antibiotický účinek | Další | 0.60 | section |
| Makrolidy | related to Antibiotický účinek | Farmakokinetika | 0.60 | section |
| Makrolidy | related to Externí odkazy | Obrázky | 0.60 | section |
| Makrolidy | related to Externí odkazy | Wikimedia CommonsStructure Activity Relationships | 0.60 | section |
| Makrolidy | related to Externí odkazy | Antibacterial Agents | 0.60 | section |
| Makrolidy | related to Externí odkazy | Structure Activity Relationships | 0.60 | section |
| Makrolidy | related to Externí odkazy | André Bryskier MD | 0.60 | section |
The concept neighborhoods around Makrolidy bring nearby vocabulary together. In this analysis, examples include Jako, Mohou and Cyp3a4. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Makrolidy, one of the stronger structural bridges in this analysis connects Makrolidy with Skupiny makrolidů. 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 Makrolidy to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Skupiny makrolidů, Využití makrolidů & Vedlejší účinky, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Makrolidy · CS edition · Analysis: TopicsToTalkAbout