NP-Scout utilizes random forest classifiers trained on data sets consisting of more than 265k natural products and synthetic molecules.
For more information, see the About page.
If you are using NP-Scout for your research, please cite all of the following publications:
Chen, Y.; Stork, C.; Hirte, S.; Kirchmair, J. NP-Scout: Machine learning approach for the quantification and visualization of the natural product-likeness of small molecules. Biomolecules 2019.
doi: 10.3390/biom9020043
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