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通过 PBPK 模型提升药物发现的信心

Learn the latest trends in applying physiologically based pharmacokinetic (PBPK) modeling to accelerate early drug discovery and enhance confidence in pre-IND decision-making.

Our PBPK experts discuss:

  • Trends in Drug Discovery: Learn how PBPK modeling is being adopted earlier in the drug development process to triage best drug candidates, support first-in-human PK prediction, assess potential drug-drug interaction and formulation risks, and more.
  • Simcyp® Discovery Version 2: Certara’s advanced PBPK platform for pre-IND success introduces major updates to improve usability, automation, and model development. Updates include:
    • Automation and Documentation Enhancements: New workflow tools such as the Dose Finding Tool streamline and speed up model development and help identify optimal dosing strategies to meet PK/PD targets.
    • Structure-Based Predictors: Use SMILES strings to predict key physicochemical properties.
    • Expanded Static DDI Capabilities: Inclusion of Desipramine (CYP2D6 substrate) and Paroxetine (competitive and mechanism-based CYP2D6 inhibitor) in the static DDI tool.
    • Performance Upgrades: Enhanced user experience with GPT-powered ‘Ask Simcyp’ help and new Simcyp Cloud simulation services.
    • Usability Improvements: Realtime reporting of simulation results within the Simulator, improved user experience.

Whether you’re a new or experienced user, this session provides practical insights on how to integrate Simcyp Discovery into your preclinical workflows and stay at the forefront of model-informed drug development.

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