Research this topic
Explore the main themes, entities and connections around ErbB. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Explore this topic
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
ErbB and Kinase activation
Role in cancer
Structure
Family members
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
- AlphaFold
- IPR016245
- Available protein structures:
- IPR016245
- InterPro
- IPR016245
- Membranome
- 1203
- PDB
- IPR016245
- Symbol
- ErbB
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
- Receptor tyrosine kinases Receptor tyrosine kinase
- Epidermal growth factor receptor
- ErbB1
- ErbB2
- ErbB3
- ErbB4
- Neurodegenerative diseases Neurodegenerative disease
- Multiple sclerosis
- Alzheimer's disease
- Tumors Tumor
- Schwann cell
- Cancers Cancer
- Malignancy
Family members
Structure
- Extracellular
- Amino acids Amino acid
- Transmembrane
- Tyrosine kinase
- Leucine
- Cysteine
- Pdb Protein Data Bank (file format)
ErbB and Kinase activation
- Heterodimers Protein dimer
- Oligomers Quaternary structure
- Growth factors Growth factor
- Ligands Ligand (biochemistry)
- Activation loop
- MAPK MAPK/ERK pathway
- PI3-K/Akt PI3K/AKT/mTOR pathway
- Transphosphorylation Phosphorylation
- Tyrosine
- Serine
- Threonine
Role in cancer
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.
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.ErbB
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
ErbB
Top relations
Important terminology Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Important terminology
tyrosine family domain receptor signaling development kinase egfr erbb-2 tumor tumors proteins receptors activation protein extracellular dimerization breast kinases growth
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| ErbB | AlphaFold | IPR016245 | 1.00 | infobox |
| ErbB | Available protein structures: | IPR016245 | 1.00 | infobox |
| ErbB | InterPro | IPR016245 | 1.00 | infobox |
| ErbB | Membranome | 1203 | 1.00 | infobox |
| ErbB | PDB | IPR016245 | 1.00 | infobox |
| ErbB | Symbol | ErbB | 1.00 | infobox |
| Ras | instance of | Role in cancerPhosphorylated tyrosine residues act as binding sites for intracellular signal activators | 0.80 | text |
| gliomas | instance of | thereby reversing the action of PI3K.EGFR has been found to be overexpressed in many cancers | 0.80 | text |
| non-small-cell lung carcinoma | instance of | thereby reversing the action of PI3K.EGFR has been found to be overexpressed in many cancers | 0.80 | text |
| panitumumab | instance of | Drugs | 0.80 | text |
| cetuximab | instance of | Drugs | 0.80 | text |
| gefitinib | instance of | Drugs | 0.80 | text |
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.