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Telaprevir (VX-950), was marketed under the brand names Incivek and Incivo, is a pharmaceutical drug for the treatment of hepatitis C co-developed by Vertex Pharmaceuticals and Johnson & Johnson. It is a member of a class of antiviral drugs known as protease inhibitors. Specifically, telaprevir inhibits the hepatitis C viral enzyme NS3/4A serine…
The analysis highlights Research and Standards as prominent areas in the source structure around Telaprevir.
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 Telaprevir shows recurring relationship patterns in the source. For example, Telaprevir → ADVANCE, Committee, FDA Antiviral Drugs Advisory, HCV, III ADVANCE, ILLUMINATE, In, May, Merck's, On April, PROVE3, REALIZE, SVR, The, This, United States Another extracted example is Telaprevir → After, Drug Administration, FDA, Grade, Incivek, On December, The, The FDA, US, US Food, Vertex. 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.
hepatitis svr therapy ribavirin patients treatment genotype incivek drug vertex viral fda drugs trial peginterferon response antiviral use standard protease
TTTA extracted 61 structured relationships around Telaprevir. Examples in this analysis include Telaprevir → 3D model (JSmol) → Interactive image and Telaprevir → AHFS/Drugs.com → Consumer Drug Information. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Telaprevir | 3D model (JSmol) | Interactive image | 1.00 | infobox |
| Telaprevir | AHFS/Drugs.com | Consumer Drug Information | 1.00 | infobox |
| Telaprevir | ATC code | J05AP02 (WHO) | 1.00 | infobox |
| Telaprevir | CAS Number | 402957-28-2 N | 1.00 | infobox |
| Telaprevir | ChEBI | CHEBI:68595 N | 1.00 | infobox |
| Telaprevir | ChEMBL | ChEMBL231813 Y | 1.00 | infobox |
| Telaprevir | ChemSpider | 2279948 Y | 1.00 | infobox |
| Telaprevir | CompTox Dashboard (EPA) | DTXSID40193304 | 1.00 | infobox |
| Telaprevir | DrugBank | DB05521 N | 1.00 | infobox |
| Telaprevir | ECHA InfoCard | 100.129.857 | 1.00 | infobox |
| Telaprevir | Elimination half-life | 9–11 hours | 1.00 | infobox |
| Telaprevir | Excretion | 90% (bile), 9% (exhaled air), 1% (urine) | 1.00 | infobox |
| Telaprevir | Formula | C36H53N7O6 | 1.00 | infobox |
| Telaprevir | IUPHAR/BPS | 7871 | 1.00 | infobox |
| Telaprevir | KEGG | D09012 Y | 1.00 | infobox |
| Telaprevir | Legal status | US: ℞-only | 1.00 | infobox |
| Telaprevir | License data | US FDA: Telaprevir | 1.00 | infobox |
| Telaprevir | MedlinePlus | a611038 | 1.00 | infobox |
| Telaprevir | Metabolism | extensive hepatic | 1.00 | infobox |
| Telaprevir | Molar mass | 679.863 g·mol−1 | 1.00 | infobox |
| Telaprevir | NIAID ChemDB | 213006 | 1.00 | infobox |
| Telaprevir | Protein binding | 59–76% | 1.00 | infobox |
| Telaprevir | PubChem CID | 3010818 | 1.00 | infobox |
| Telaprevir | Routes of administration | Oral | 1.00 | infobox |
| Telaprevir | Trade names | Incivek, Incivo | 1.00 | infobox |
| Telaprevir | UNII | 655M5O3W0U | 1.00 | infobox |
The concept neighborhoods around Telaprevir bring nearby vocabulary together. In this analysis, examples include Hepatitis, Ribavirin and Treatment. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Telaprevir, one of the stronger structural bridges in this analysis connects Telaprevir 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 Telaprevir to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Research & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Telaprevir · EN edition · Analysis: TopicsToTalkAbout