Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DBWeb Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation
Author/s
Syaifie, Putri Hawa; Harisna, Azza Hanif; Nasution, Mochammad Arfin Fardiansyah; Arda, Adzani Gaisani; Nugroho, Dwi Wahyu; [et al.]Date
2022-06-21Discipline/s
FarmaciaIngeniería, Industria y Construcción
Subject/s
Type-2 diabetes mellitusPropolis
DIA-DB
In silico
Virtual screening
Molecular dynamics
Abstract
Propolis contains a wide range of pharmacological activities because of their various bioactive compounds. The beneficial effect of propolis is interesting for treating type-2 diabetes mellitus (T2DM) owing to dysregulation of multiple metabolic processes. In this study, 275 of 658 Asian propolis compounds were evaluated as potential anti-T2DM agents using the DIA-DB web server towards 18 known anti-diabetes protein targets. More than 20% of all compounds could bind to more than five diabetes targets with high binding affinity (<-9.0 kcal/mol). Filtering with physicochemical and pharmacokinetic properties, including ADMET parameters, 12 compounds were identified as potential anti-T2DM with favorable ADMET properties. Six of those compounds, (2R)-7,40-dihydroxy-5-methoxy-8-methylflavone; (RR)-(+)-30-senecioylkhellactone; 20,40,60-trihydroxy chalcone; alpinetin;
pinobanksin-3-O-butyrate; and pinocembrin-5-methyl ether were first reported as anti-T2DM agents. We identified the significan...





