A new in silico tool for early screening of compounds multicurrent blocking effects on a population of hiPSC-derived cardiomyocytes


Broadly Validated

The most validated computational model of hiPSC-derived cardiomyocyte action potential


Display and Export

Results can be visualized both as population biomarker value distributions and as membrane potential trace in each virtual cell. 


Easy to Use

Well-designed wizard that step by step guides through the setup and run of the simulation where a compound can block up to seven ion currents at multiple concentrations

STrhiPS is based on the Paci2018 model, a state-of-the-art hiPSC-derived cardiomyocyte (hiPSC-CM) action potential model and multiple current-drug interactions. The model was validated against current blocking experiments and data on effects of different extracellular ionic concentrations (Paci et al. Frontiers in Physiology 2018) The extension to a population of cell models based on the original one has proven useful in the investigation of pharmacologic therapeutic response (Paci et al. Computing in Cardiology 2018).

STrhiPS enables simulations on a population of up to 1774 hiPSC-CM cells by blocking all the main membrane currents (IKr, IKs, ICaL, INa, INaL, Ito and IK1) at different concentration levels and can be used for fast and low-cost pre-screening, design of experiments, and results interpretation in preclinical research.

Research team

STrhiPS is the result of the collaboration among Bologna University, Tampere University, and InSilicoTrials Technologies

Articles & publications

Michelangelo Paci, Risto-Pekka Pölönen, Dario Cori, Kirsi Penttinen, Katriina Aalto-Setälä, Stefano Severi, Jari Hyttinen

Frontiers in Physiology Vol. 9 709 2018 doi: 10.3389/fphys.2018.00709

Michelangelo Paci, Elisa Passini, Aleksandra Klimas, Stefano Severi, Jari Hyttinen, Blanca Rodriguez, Emilia Entcheva

Computing in Cardiology 2018 doi:10.22489/CinC.2018.086

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