Case Studies

Dose-response model comparison of candidate TLR agonists

Model-based comparison of candidate agonists demonstrating higher potency and full efficacy for the selected compound, TLR_B.

Immunotherapy

Model-Informed Target Differentiation in Immunotherapy

  • Differentiated multiple Toll-like receptor agonists using dose-response modelling.
  • Identified the lead candidate based on potency and efficacy.
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Problem

Multiple Toll-like receptor agonists with unclear differentiation.

Solution

Integrated dose-response modelling to quantify target engagement and compare pharmacological profiles across candidates.

Impact

Enabled confident, data-driven selection of the lead candidate and reduced early development risk.

Translational ISR modelling graph showing target engagement thresholds

Model-informed translation of preclinical pharmacology to target engagement, with simulation-based dose exploration relative to IC50, IC80, and IC90 thresholds.

Oncology

Translational ISR Modelling for Candidate and Dose Strategy

  • Translated preclinical exposure-response into a target engagement framework.
  • Used simulation to define dose ranges balancing pharmacology and safety.
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Problem

Leverage emerging competitor PERK inhibition data in preclinical tumour models to support selection of the optimal lead candidate and dosing strategy.

Solution

  • Translated exposure-response relationships from RCC tumour models into a target engagement framework.
  • Integrated pharmacology with predicted PK to characterise target coverage across dose levels.
  • Performed simulation-based exploration of dose regimens to balance pharmacological activity with safety thresholds.

Impact

  • Enabled data-driven selection of the lead candidate.
  • Defined dose ranges achieving optimal target engagement with acceptable safety margins.
  • Accelerated progression from preclinical evaluation to candidate selection.