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Articles

The virtual assay software for human in silico drug trials to augment drug cardiac testing. Passini E, Zhou X, Trovato C, Britton O, Bueno-Orovio A, Rodriguez B. Journal of Computational Science. 2020. 52:1877-7503. Partner involved: UOXF
Quantitative systems toxicology modeling to address key safety questions in drug development: A focus of the TransQST Consortium. Ferreira S, Fisher C, Furlong L, Laplanche L, Park K, Carmen Pin, Saez-Rodriguez J, Trairatphisan P. Chemical Research Toxicology. 2020. 33(1):7-9. Partners involved: SIMCYP, IMIM, AbbVie, ULIV, AZ, UKHD
Human Purkinje in silico model enables mechanistic investigations into automaticity and pro-arrhythmic abnormalities. Trovato C, Passini E, Nagy N, Varró A, Abi-Gerges N, Severi S, Rodriguez B. Journal of Molecular and Cellular Cardiology. 2020. 142:24-38. Partner involved: UOXF
All-optical electrophysiology refines populations of in silico human iPSC-CMs for drug evaluation. Paci M, Passini E, Klimas A, Severi S, Hyttinen J, Rodriguez B, Entcheva E. Biophysical Journal. 2019. 118(10):2596-2611. Partner involved: UOXF
Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set. Del-Toro N,  Duesbury M, Koch M, Perfetto L, Shrivastava A, Ochoa D, Wagih O, Piñero J, Kotlyar M, Pastrello C, Beltrao P, Furlong L, Jurisica I, Hermjakob H, Orchard S, Porras P. Nature Communications. 2019. 10(1):10. Partners involved: EMBL-EBI, IMIM
Improving prediction of torsadogenic risk in the CiPA in silico model by appropriately accounting for clinical exposure. Leishman D. Journal of Pharmacological and Toxicological Methods. 2019. 101:106654. Partner involved: Eli-Lilly
From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL. Liu A, Trairatphisan P, Gjerga E, Didangelos A, Barratt J, Saez-Rodriguez J. NPJ Systems Biology Applications. 2019. 5:40. Partner involved: UKHD
Development, calibration, and validation of a novel human ventricular myocyte model in health, disease, and drug block. Tomek J, Bueno-Orovio A, Passini E, Zhou X, Minchole A, Britton O, Bartolucci C, Severi S, Shrier A, Virag L, Varro A, Rodriguez B. eLife. 2019. 8:e48890. Partner involved: UOXF
Drug‐induced shortening of the electromechanical window is an effective biomarker for in silico prediction of clinical risk of arrhythmias. Passini E, Trovato C, Morissette P, Sannajust F, Bueno‐Orovio A, Rodriguez B. British Journal Pharmacology. 2019. 176(19):3819–3833. Partner involved: UOXF
Prediction of human drug-induced liver injury (DILI) in relation to oral doses and blood concentrations. Albrecht W, Kappenberg F, Brecklinghaus T. Archives of Toxicology. 2019. 93:1609. Partner involved: IFADO
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Acknowledgement

This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 116030. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.

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©2017 TransQST | Translational Quantitative Systems Toxicology

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