In Silico Prediction of Tyrosinase and Adenylyl Cyclase Inhibitors from Natural Compounds

Abstract

Although many herbal medicines are effective in the treatment of hyperpigmentation, the potency of different constituents remains unknown. In this work, more than 20,000 herbal ingredients from 453 herbs were docked into the crystal structures of adenylyl cyclase and a human homology tyrosinase model using Surflex-Dock. These two enzymes are responsible for melanin production and inhibition of them may attain a skin-whitening effect superior to currently available agents. The essential drug properties for topical formulation of the herbal ingredients, including skin permeability, sensitization, irritation, corrosive and carcinogenic properties were predicted by Dermwin, Skin Sensitization Alerts (SSA), Skin Irritation Corrosion Rules Estimation Tool (SICRET) and Benigni/Bossa rulebase module of Toxtree. Moreover, similarity ensemble and pharmacophore mapping approaches were used to forecast other potential targets for these herbal compounds by the software, SEArch and PharmMapper. Overall, this study predicted seven compounds to have advanced drug-like properties over the well-known effective tyrosinase inhibitors, arbutin and kojic acid. These seven compounds have the highest potential for further in vitro and in vivo investigation with the aim of developing safe and high-efficacy skin-whitening agents.