Skip to main content
search

Simcyp In Vitro Data Analysis (SIVA) Toolkit

Streamlining analysis of complex in vitro data

State-of-the-art models designed for in vitro systems

The Simcyp SIVA Toolkit streamlines in vitro data analysis of whole cell systems and dissolution studies to feed into PBPK modeling. With predefined models, intuitive interfaces, and advanced algorithms, the SIVA Toolkit delivers actionable insights with statistical rigor, helping you provide reliable input parameters for PBPK models.

Fully compatible with the Simcyp PBPK Simulator, Simcyp Discovery, and Simcyp Biopharmaceutics, SIVA enables accurate parameter estimation, supports in vitro-to-in vivo extrapolation (IVIVE) of hepatic clearance for multiple species, and automates the process.

Simplify complex data with intuitive plots and tables.
Model solutions, suspensions, or immediate release formulations.
Incorporate dual solid-state forms, excipient binding, and solubility factors.

Key features of Simcyp SIVA Toolkit

Customizable outputs

Detailed plots and tables for record-keeping.

Dual solid states

Model precipitation from amorphous to crystalline forms.

Flexible dosing

Available as amorphous, free form, salt, or mixed dosage forms (e.g., where crystallization or disproportionation has occurred in storage).

Surface pH and solubility

Consideration for all compound types and salts.

Advanced particle size distribution tools

Import and map particle size data.

Improved fitting algorithms

Updated to the latest Parameter Estimation standards within the Simcyp Simulator.

Get a Simcyp SIVA demo today

Find out for yourself how Simcyp SIVA can help you cross the chasm from in vitro data, to in vitro-in vivo extrapolation to predict in vivo behavior.

Model multiple experiments, resulting in improved confidence in your estimates.
Benefit from statistical rigor via goodness of fit measurements and diagnostic plots.
Automate IVIVE enabling integration of in vitro metabolic clearance data and physiological scaling factors for extrapolation of hepatic clearance for multiple species (human, dog, rat, mouse).
Predict ADME parameters using in silico models (e.g., fraction of unbound drug in plasma, blood-to-plasma ratio).
Predict intracellular operating concentrations driving qualitative and quantitative in vitro endpoints.

Contact us