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DILIsym is a quantitative systems toxicology (QST) software platform designed to predict drug-induced liver injury (DILI) hazards and explain underlying mechanisms.

Vendor

Vendor

Simulations Plus

Company Website

Company Website

DSX-Flyer-2024-11.pdf
Product details

DILIsym is a flagship quantitative systems toxicology (QST) software platform specifically engineered to predict potential drug-induced liver injury (DILI) hazards. It provides crucial insight into the mechanisms responsible for observed DILI responses, enabling organizations to make more informed decisions regarding liver safety during drug development. Recognized as the most widely used QST modeling software for DILI prediction, DILIsym's modeling-based data is assessed by the FDA’s DILI team, offering a high level of confidence in decision-making for organizations concerned about liver safety risks. The software is designed for use throughout the drug development process, from early stages to providing deeper insights into DILI mechanisms. Its development is supported by a pre-competitive consortium, the DILI-sim Initiative, which includes Simulations Plus and multiple pharmaceutical companies, ensuring continuous feedback and directed development efforts.

Features & Benefits

  • Core Modeling Capabilities
    • Includes a suite of submodules for comprehensive DILI assessment.
    • PBPK modeling
    • Mitochondrial toxicity modeling
    • Bile acid modeling
    • Reactive nitrogen/oxygen species
    • Innate immunity modeling
    • Hepatocyte life cycle
    • Clinical readouts
  • Simulated Populations (SimPops®)
    • Enables testing compounds in simulated human populations that express a wide range of responses and extensive variability in underlying biochemistry.
  • Human Physiological Modeling
    • Provides a middle-out multi-scale representation of human physiology for assessing potential DILI hazard in patients. It integrates compound pharmacokinetic (PK) and pharmacodynamic (PD) information to predict time profiles of liver enzymes (e.g., ALT, AST), other clinical variables (e.g., bilirubin, prothrombin time, INR), and tissue properties (e.g., liver mass, GSH content).
  • Beagle Dog Physiological Modeling
    • Offers a middle-out multi-scale representation of Beagle dog physiology for assessing potential DILI hazard, prioritizing consistency with available datasets.
  • Sprague-Dawley Rat Physiological Modeling
    • Features a middle-out multi-scale representation of Sprague-Dawley rat physiology for DILI hazard assessment, integrating PK/PD information to predict time profiles.
  • C57Bl/6 Mouse Physiological Modeling
    • Provides a middle-out multi-scale representation of C57Bl/6 mouse physiology for DILI hazard assessment, integrating PK/PD information to predict time profiles.
  • Translational Research Integration
    • Facilitates the integration of in vitro, small animal, and large animal compound data into a single platform, supporting translational research and informing program advancement decisions, experimental design, analyte selection, and sampling timing.
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