FAME 3 is a collection of machine learning models for prediction of both phase 1 and phase 2 sites of metabolism (SoMs). SoMs are atoms where a metabolic reaction gets initiated and, thus, are a good starting point for determining the metabolic fate of xenobiotic compounds.
FAME 3 was developed in collaboration with Dr. Angelica Mazzolari, Prof. Alessandro Pedretti and Prof. Giulio Vistoli from the Drug Design Laboratory of the University of Milan and em. Prof. Bernard Testa from the University of Lausanne.
FAME 3 is free for non-commercial and academic research. For-profit institutions may use FAME 3 for testing purposes and contact us for a commercial licence.
For more information, see the About page.
If you are using FAME 3 for your research, please cite all of the following publications:
Šícho, M.; Stork, C.; Mazzolari, A.; de Bruyn Kops, C.; Pedretti, A.; Testa, B.; Vistoli, G.; Svozil, D.; Kirchmair, J. FAME 3: Predicting the Sites of Metabolism in Synthetic Compounds and Natural Products for Phase 1 and Phase 2 Metabolic Enzymes. J. Chem. Inf. Model. 2019.
doi: 10.1021/acs.jcim.9b00376
Stork, C.; Embruch, G.; Šícho, M.; de Bruyn Kops, C.; Chen, Y.;
Svozil, D.; Kirchmair, J. NERDD: a web portal providing access to in
silico tools for drug discovery. Bioinformatics
2020.
doi:10.1093/bioinformatics/btz695