Many drugs with interesting properties fail to enter the market because of poor physico-chemical/drug-like properties. Therefore, this paper is on the in-silico study of the drug-likeness of 195 anti-cancer metabolites from Cameroonian flora. Our result revealed that our 76.50% of our dataset were drug-like according Lipinski's rule of five. Also, our dataset showed percentage enhencement in drug-likeness our Dictionary of Natural Products dataset. This makes our dataset a suitable point to kick-off natural products drug discovery project.
Key words: Cancer, natural products, drug-likeness, physico-chemical properties
|
