Herbalog: A tool for target-based identification of herbal drug efficacy through molecular docking.

BACKGROUND: Traditionally, molecular docking is primarily employed to screen pure compounds; the top-ranking chemicals are subsequently selected for experimental validation. Unlike synthetic chemicals, most natural products are commercially unavailable. The isolation and purification of each natural product is extremely time-consuming, which has restricted the screening of lead compounds from natural products. PURPOSE: We developed a protocol, Herbalog, to facilitate the identification of bioactive phytochemicals through molecular docking. METHODS: We wrote a script using Python and Autodock Vina for docking; ligand displacement and adipolysis assays were used to determine the anti-fatty acid binding protein (FABP) 4 activity of bioactive extracts. An ultraperformance liquid chromatography quadrupole time-of-flight mass spectrometry system was applied for identifying major peaks of bioactive extracts. RESULTS: Herbalog, a natural product database, contains 5,112 phytochemicals from 197 common herbs and a script that counts the number of hits from docking in each herb and calculates the hit rate of herbs. Herbalog prioritizes herbs according to their hit rates, and top-ranking herb candidates contain a large repertoire of hits. We used Herbalog as a screening tool and identified labdane diterpenoids from Andrographis paniculata as leading candidates of FABP4 inhibitors. CONCLUSION: Herbalog facilitates the discovery of herbs that possess the highest number of inhibitors or activators against target proteins, which reduces the sample preparation time for preliminary validation.