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SUMO: Overview, Related Topics & Entities

SUMO (z angl. small ubiquitin-like modifier), též sentrin, je malý signální protein, který vykazuje prostorovou podobnost s ubikvitinem. Je tvořen beta-skládanými listy omotanými kolem centrálního alfa-helixu, celkem se lidský SUMO skládá asi ze 101 aminokyselin. SUMO se v procesu sumoylace připojuje na lysinový postranní řetězec na cílovém proteinu…

Language: Czech [CS]
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SUMO topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around SUMO.

Related topics
15
Source areas
1
Connected nodes
18
Extracted relationships
18
Concept neighborhoods
13
Bridge connections
18

What this topic covers Research coverage

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.

Overview · 15 topics

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.

Explore all related topics Closing gaps

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.

Overview

Literatura

  • ISBN International Standard Book Number

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How SUMO connects Entity context

The extracted context around SUMO shows recurring relationship patterns in the source. For example, SUMO → Biology, Cammack, Cell Biology, Concepts, Dostupné, EARNSHAW, Geiss-Friedlander, ISBN, Melchior, Nature Reviews Molecular Cell, New York, Oxford, Příprava, Saunders, Thomas, William Another extracted example is SUMO → Obrázky, Wikimedia Commons. Use these groups to spot repeated connection types before inspecting the individual relationships.

SUMO

Top relations

related to Literatura · 16
SUMO → Biology, Cammack, Cell Biology, Concepts, Dostupné, EARNSHAW, Geiss-Friedlander, ISBN, Melchior, Nature Reviews Molecular Cell, New York, Oxford, Příprava, Saunders, Thomas, William
related to Externí odkazy · 2
SUMO → Obrázky, Wikimedia Commons

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

proteinu signální sumo-2 biology isbn angl protein ubikvitinem alfa-helixu aminokyselin lysinový ubikvitinace proteazomech 2007 molecular cell oxford small ubiquitin-like modifier

SUMO relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around SUMO. Examples in this analysis include SUMO → related to Externí odkazy → Obrázky and SUMO → related to Externí odkazy → Wikimedia Commons. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
SUMOrelated to Externí odkazyObrázky0.60section
SUMOrelated to Externí odkazyWikimedia Commons0.60section
SUMOrelated to LiteraturaGeiss-Friedlander0.60section
SUMOrelated to LiteraturaMelchior0.60section
SUMOrelated to LiteraturaConcepts0.60section
SUMOrelated to LiteraturaNature Reviews Molecular Cell0.60section
SUMOrelated to LiteraturaBiology0.60section
SUMOrelated to LiteraturaThomas0.60section
SUMOrelated to LiteraturaEARNSHAW0.60section
SUMOrelated to LiteraturaWilliam0.60section
SUMOrelated to LiteraturaCell Biology0.60section
SUMOrelated to LiteraturaSaunders0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around SUMO bring nearby vocabulary together. In this analysis, examples include Proteinu, Alfa-helixu and Beta-skládanými. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • SUMO
    • Proteinu
    • Alfa-helixu
    • Beta-skládanými
    • Celkem
    • Centrálního
    • Kolem
    • Lidský
    • Listy
    • Malý
    • Modifier
    • Omotanými
    • Podobnost
  • sumo
    • Proteinu
    • Alfa-helixu
    • Beta-skládanými
    • Celkem
    • Centrálního
    • Kolem
    • Lidský
    • Listy
    • Malý
    • Modifier
    • Omotanými
    • Podobnost
  • angl
    • Malý
    • Modifier
    • Podobnost
    • Prostorovou
    • Protein
    • Sentrin
    • Small
    • Též
    • Ubikvitinem
    • Ubiquitin-like
    • Vykazuje
    • Signální
  • beta-skládanými listy
    • Alfa-helixu
    • Aminokyselin
    • Celkem
    • Centrálního
    • Kolem
    • Lidský
    • Listy
    • Omotanými
    • Skládá
    • Tvořen
    • Ze
    • Sumo
  • alfa-helixu
    • Aminokyselin
    • Beta-skládanými
    • Celkem
    • Centrálního
    • Kolem
    • Lidský
    • Listy
    • Omotanými
    • Skládá
    • Tvořen
    • Ze
    • Sumo
  • aminokyselin
    • Beta-skládanými
    • Celkem
    • Centrálního
    • Kolem
    • Lidský
    • Listy
    • Omotanými
    • Skládá
    • Tvořen
    • Ze
    • Sumo
  • protein
    • Podobnost
    • Prostorovou
    • Sentrin
    • Small
    • Též
    • Ubikvitinem
    • Ubiquitin-like
    • Vykazuje
    • Signální
    • Sumo
  • signální
    • Podobnost
    • Prostorovou
    • Protein
    • Small
    • Též
    • Ubikvitinem
    • Ubiquitin-like
    • Vykazuje
    • Sumo

Connections between topic areas Semantic bridges

For SUMO, one of the stronger structural bridges in this analysis connects SUMO 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.

Min side: 3
SUMO — Overview · splits 3 ⟂ 16

Map overview Semantic statistics

SUMO

Nodes19
Edges18
Triples18
Avg. degree1.89
Density0.105263
Components1

Source & methodology

TTTA analyzes the structure around SUMO 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 — SUMO · CS edition · Analysis: TopicsToTalkAbout

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