Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Barusiban: Overview, Related Topics & Entities

Barusiban (INN; development code FE-200440) is a peptide drug which is among the most potent and selective oxytocin receptor antagonists known. It was trialed by Ferring Pharmaceuticals as a treatment of preterm labor but failed to demonstrate effectiveness and was not pursued any further.

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Barusiban topic overview

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

Related topics
8
Source areas
1
Connected nodes
9
Extracted relationships
10
Concept neighborhoods
10
Bridge connections
9

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 · 8 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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

3D model (JSmol)
Interactive image
ATC code
None
CAS Number
285571-64-4
ChemSpider
8008159
CompTox Dashboard (EPA)
DTXSID20182771
Drug class
Oxytocin receptor antagonist

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

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 Barusiban connects Entity context

The extracted context around Barusiban shows recurring relationship patterns in the source. For example, Barusiban → Interactive image Another extracted example is Barusiban → None. Use these groups to spot repeated connection types before inspecting the individual relationships.

Barusiban

Top relations

3D model (JSmol) · 1
Barusiban → Interactive image
ATC code · 1
Barusiban → None
CAS Number · 1
Barusiban → 285571-64-4
ChemSpider · 1
Barusiban → 8008159
CompTox Dashboard (EPA) · 1
Barusiban → DTXSID20182771
Drug class · 1
Barusiban → Oxytocin receptor antagonist
Formula · 1
Barusiban → C40H63N9O8S
Molar mass · 1
Barusiban → 830.06 g·mol−1
PubChem CID · 1
Barusiban → 9832431
UNII · 1
Barusiban → UX33I93GLS

Important terminology

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

Important terminology

oxytocin receptor drug code antagonist inn peptide antagonists trialed development fe-200440 among potent selective known ferring pharmaceuticals treatment preterm labor

Barusiban relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around Barusiban. Examples in this analysis include Barusiban → 3D model (JSmol) → Interactive image and Barusiban → ATC code → None. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Barusiban3D model (JSmol)Interactive image1.00infobox
BarusibanATC codeNone1.00infobox
BarusibanCAS Number285571-64-41.00infobox
BarusibanChemSpider80081591.00infobox
BarusibanCompTox Dashboard (EPA)DTXSID201827711.00infobox
BarusibanDrug classOxytocin receptor antagonist1.00infobox
BarusibanFormulaC40H63N9O8S1.00infobox
BarusibanMolar mass830.06 g·mol−11.00infobox
BarusibanPubChem CID98324311.00infobox
BarusibanUNIIUX33I93GLS1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Barusiban bring nearby vocabulary together. In this analysis, examples include Code, Drug and Oxytocin. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Barusiban
    • Code
    • Drug
    • Oxytocin
    • Receptor
    • Also
    • Among
    • Antagonist
    • Antagonists
    • Development
    • Fe-200440
    • Inn
    • Known
  • barusiban
    • Code
    • Drug
    • Oxytocin
    • Receptor
    • Also
    • Among
    • Antagonist
    • Antagonists
    • Development
    • Fe-200440
    • Inn
    • Known
  • drug
    • Oxytocin
    • Receptor
    • Also
    • Antagonist
    • Fe-200440
    • Inn
    • Known
    • Peptide
    • Potent
    • References
    • See
    • Selective
  • antagonists
    • Development
    • Fe-200440
    • Inn
    • Known
    • Peptide
    • Potent
    • Selective
    • Barusiban
    • Code
    • Drug
    • Oxytocin
    • Receptor
  • oxytocin receptor
    • Receptor
    • Also
    • Antagonist
    • Known
    • Peptide
    • Potent
    • References
    • See
    • Selective
  • trialed
    • Demonstrate
    • Effectiveness
    • Failed
    • Ferring
    • Labor
    • Pharmaceuticals
    • Preterm
    • Pursued
    • Treatment
  • ferring pharmaceuticals
    • Demonstrate
    • Effectiveness
    • Failed
    • Labor
    • Pharmaceuticals
    • Preterm
    • Pursued
    • Treatment
    • Trialed
  • preterm labor
    • Demonstrate
    • Effectiveness
    • Failed
    • Labor
    • Pharmaceuticals
    • Preterm
    • Pursued
    • Treatment
    • Trialed

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Barusiban map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Barusiban

Nodes10
Edges9
Triples10
Avg. degree1.8
Density0.2
Components1

Source & methodology

TTTA analyzes the structure around Barusiban 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 — Barusiban · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.