@article{dc731e6bedbf4c628b87362c55349943,
title = "NP-Scout: Machine Learning Approach for the Quantification and Visualization of the Natural Product-Likeness of Small Molecules",
keywords = "Biological Products/chemistry, Machine Learning, Molecular Structure, Small Molecule Libraries/chemistry, similarity maps, visualization, random forest, classification, machine learning, web service, DISCOVERY, PREDICTION, DISTRIBUTIONS, natural products, DATABASE, natural product-likeness, DRUGS, RELEVANT CHEMICAL SPACE, molecular fingerprints, Natural product-likeness, Visualization, Web service, Random forest, Molecular fingerprints, Classification, Natural products, Machine learning, Similarity maps",
author = "Ya Chen and Conrad Stork and Steffen Hirte and Johannes Kirchmair",
note = "Publisher Copyright: {\textcopyright} 2019 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2019",
month = jan,
day = "24",
doi = "10.3390/biom9020043",
language = "English",
volume = "9",
journal = "Biomolecules",
issn = "2218-273X",
publisher = "MDPI AG",
number = "2",
}