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Authors: Sebastian Polak (Certara) and Natalia Łapińska (Jagiellonian University, Medical College)

See the modeling engine behind the predictions

This QSAR model was built to feed directly into mechanistic PBPK workflows—the same metformin case study used Certara’s Simcyp Simulator to turn a predicted renal clearance value into realistic Cmax and AUC. Explore the platform behind the science, or talk with our modeling and simulation team about applying predicted renal clearance in your own programs, from discovery through clinical pharmacology.

Explore the Simcyp PBPK Simulator