Quantitative systems toxicology: modelling to mechanistically understand and predict drug safety
Year: 2025
Type: review
Source: Nature Reviews Drug Discovery
Authors: Christopher E. Goldring, Giusy Russomanno, Carmen Pin, Panuwat Trairatphisan, Kylie A. Beattie, Ciarán P. Fisher, Janet Piñero, Richard J. Brennan, Diana Clausznitzer, Ian M. Copple, Theo M. de Kok, Carrie A. Duckworth, Laura I. Furlong, Barbara Füzi, Attila Gabor, Louis Gall, Jan Hengstler, Henning Hermjakob, Fiona Hunter, Danyel Jennen, Mikko Koskinen, Steven J. Kunnen, Lieve Lammens, Sebastian Lobentanzer, Marcel Mohr, Elisa Passini, D. Mark Pritchard, Rahuman S. Malik-Sheriff, Blanca Rodríguez, Eric I. Rossman, Julio Saez-Rodríguez, Friedemann Schmidt, Rowena Sison-Young, Inari Soininen, Sean Turner, Bob van de Water, Johan G. C. van Hasselt, Filippo Venezia, Jeffrey A. Willy, Derek J. Leishman, James L. Stevens, Loic Laplanche
Institutions: University of Liverpool, AstraZeneca (United Kingdom), Heidelberg University, University Hospital Heidelberg, AbbVie (Germany), Sanofi (Germany), GlaxoSmithKline Research & Development Limited (United Kingdom), Universitat Pompeu Fabra, Hospital Del Mar, Municipal Institute for Medical Research, Hospital del Mar Research Institute, Maastricht University, University of Vienna, European Bioinformatics Institute, Orion Corporation (Finland), Leiden University, Galapagos (Belgium), University of Oxford, National Centre for the Replacement Refinement and Reduction of Animals in Research, GlaxoSmithKline (United States), Synapse (Spain), Institut de Recherches Internationales Servier (France), Vertex Pharmaceuticals (United States), Eli Lilly (United States)
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: G302012681, Human in silico clinical trials in post myocardial infarction: mechanistic investigations into phenotypic electromechanical variability and response to treatment, Translational quantitative systems toxicology to improve the understanding of the safety of medicines - Sofia: 116030, Human in silico clinical trials in post myocardial infarction: mechanistic investigations into phenotypic electromechanical variability and response to treatment
OpenAlex ID: W4415600767