Navis Bio Trial DB

ChatGPT plugin

Drug development landscapes

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Navis Bio Trial DB lets ChatGPT search Navis Bio's drug-development landscape: the drugs and biologics (assets) in clinical development, the gene targets they act on, the diseases they are studied in, the companies that sponsor their trials, and the trials themselves. The data is compiled from public clinical-trial registries, including ClinicalTrials.gov, and Navis Bio's AI-assisted curation.

What you can do

  • List the assets against a target, in a disease or at a development phase, with trial counts and the highest phase reached.
  • Answer combination questions, such as which KRAS inhibitors are in Phase 3 trials for lung cancer and who sponsors those trials.
  • Open one asset in full: its targets, the diseases it has been studied in, the sponsors of its trials and its most advanced trials.
  • See which diseases a target's assets are studied in, ranked by trial activity.
  • Build a competitive-landscape matrix: targets, assets or trials as rows; development stage, tumour types or your own disease groups as columns; trial, asset and sponsor counts in each cell.

Who it is for Professionals in biopharma R&D: business development and licensing teams, competitive intelligence analysts, R&D strategy and portfolio teams, and investors who follow drug development. It is not intended for patients, caregivers or consumers. This beta release is offered in the United States only; deployment in other countries, including territories governed by the EU GDPR or the UK GDPR, is pending a future release.

Limitations

  • For exploratory research only: generating hypotheses in biopharma R&D that require validation against primary sources. It is not a medical product, gives no medical, clinical or investment advice, and must not be used for decisions about anyone's care.
  • Curation is AI-assisted and can contain errors. Check important findings against the primary trial records.
  • Coverage is built from trial registries, so programmes with no registered trial are mostly absent. The data is updated periodically, not live.
  • There is no regulatory approval, label or loss-of-exclusivity data.
  • A sponsor is a company that sponsored a trial an asset appears in. That is evidence of involvement, not ownership.
  • One study registered in more than one national registry can be counted more than once, so treat trial counts as upper bounds.
  • Targets are identified by gene symbol (ERBB2 for HER2, PDCD1 for PD-1).
  • Read-only: Navis Bio Trial DB does not change any data.

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Navis Bio Trial DB is #10,639 of 13,927 ChatGPT plugins by placement, down 26 places in a week.

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Data & analytics615th of 800 by placement
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614FullSession#1063147places down
615Navis Bio Trial DBThis page#1063926places down
616Marketproof#1064795places up
617TextQL#10662129places up

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Example prompts

  • “Which drugs targeting KRAS have reached Phase 3 or later clinical trials?”
  • “Build a competitive landscape matrix of KRAS, EGFR, ALK, MET and RET by development stage.”
  • “In which diseases are HER2-targeted drugs studied most? Rank them by number of trials.”
Categories
Made by
Navis Bio GmbH · Website
Sign-in
On Install
Capabilities
Search drug-development assets by target, disease, phase or modality, Search trial-level programmes for target, disease and phase combinations, Look up one asset, target, indication or company in full, Build competitive-landscape matrices
Availability
Available
Version
0.9.0
Keywords
drug development, clinical trials, pipeline, competitive intelligence, biopharma
Created
November 3, 2026
More info
Sponsorship
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