Development of In Silico Methods for Toxicity Prediction in Collaboration Between Academia and the Pharmaceutical Industry
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Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-1960-5_5
Reference27 articles.
1. Gaulton A, Hersey A, Nowotka ML et al (2017) The ChEMBL database in 2017. Nucleic Acids Res 45:D945–D954. https://doi.org/10.1093/nar/gkw1074
2. Hunter FMI, Atkinson FL, Bento AP et al (2018) A large-scale dataset of in vivo pharmacology assay results. Sci Data 5:180230. https://doi.org/10.1038/sdata.2018.230
3. Lo Y-C, Rensi SE, Torng W, Altman RB (2018) Machine learning in chemoinformatics and drug discovery. Drug Discov Today 23:1538–1546. https://doi.org/10.1016/j.drudis.2018.05.010
4. Pognan F, Steger-Hartmann T, Díaz C et al (2021) The eTRANSAFE project on translational safety assessment through integrative knowledge management: achievements and perspectives. Pharmaceuticals 14:237. https://doi.org/10.3390/ph14030237
5. Laverty H, Meulien P (2019) The innovative medicines initiative −10 years of public-private collaboration. Front Med 6:275. https://doi.org/10.3389/fmed.2019.00275
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