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Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation
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 co...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268573/ https://www.ncbi.nlm.nih.gov/pubmed/35807241 http://dx.doi.org/10.3390/molecules27133972 |
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author | Syaifie, Putri Hawa Harisna, Azza Hanif Nasution, Mochammad Arfin Fardiansyah Arda, Adzani Gaisani Nugroho, Dwi Wahyu Jauhar, Muhammad Miftah Mardliyati, Etik Maulana, Nurwenda Novan Rochman, Nurul Taufiqu Noviyanto, Alfian Banegas-Luna, Antonio J. Pérez-Sánchez, Horacio |
author_facet | Syaifie, Putri Hawa Harisna, Azza Hanif Nasution, Mochammad Arfin Fardiansyah Arda, Adzani Gaisani Nugroho, Dwi Wahyu Jauhar, Muhammad Miftah Mardliyati, Etik Maulana, Nurwenda Novan Rochman, Nurul Taufiqu Noviyanto, Alfian Banegas-Luna, Antonio J. Pérez-Sánchez, Horacio |
author_sort | Syaifie, Putri Hawa |
collection | PubMed |
description | 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)-7,4′-dihydroxy-5-methoxy-8-methylflavone; (RR)-(+)-3′-senecioylkhellactone; 2′,4′,6′-trihydroxy chalcone; alpinetin; pinobanksin-3-O-butyrate; and pinocembrin-5-methyl ether were first reported as anti-T2DM agents. We identified the significant T2DM targets of Asian propolis, namely retinol-binding protein-4 (RBP4) and aldose reductase (AKR1B1) that have important roles in insulin sensitivity and diabetes complication, respectively. Molecular dynamic simulations showed stable interaction of selected propolis compounds in the active site of RBP4 and AKR1B1. These findings suggest that Asian propolis compound may be effective for treatment of T2DM by targeting RBP4 and AKR1B1. |
format | Online Article Text |
id | pubmed-9268573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92685732022-07-09 Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation Syaifie, Putri Hawa Harisna, Azza Hanif Nasution, Mochammad Arfin Fardiansyah Arda, Adzani Gaisani Nugroho, Dwi Wahyu Jauhar, Muhammad Miftah Mardliyati, Etik Maulana, Nurwenda Novan Rochman, Nurul Taufiqu Noviyanto, Alfian Banegas-Luna, Antonio J. Pérez-Sánchez, Horacio Molecules Article 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)-7,4′-dihydroxy-5-methoxy-8-methylflavone; (RR)-(+)-3′-senecioylkhellactone; 2′,4′,6′-trihydroxy chalcone; alpinetin; pinobanksin-3-O-butyrate; and pinocembrin-5-methyl ether were first reported as anti-T2DM agents. We identified the significant T2DM targets of Asian propolis, namely retinol-binding protein-4 (RBP4) and aldose reductase (AKR1B1) that have important roles in insulin sensitivity and diabetes complication, respectively. Molecular dynamic simulations showed stable interaction of selected propolis compounds in the active site of RBP4 and AKR1B1. These findings suggest that Asian propolis compound may be effective for treatment of T2DM by targeting RBP4 and AKR1B1. MDPI 2022-06-21 /pmc/articles/PMC9268573/ /pubmed/35807241 http://dx.doi.org/10.3390/molecules27133972 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Syaifie, Putri Hawa Harisna, Azza Hanif Nasution, Mochammad Arfin Fardiansyah Arda, Adzani Gaisani Nugroho, Dwi Wahyu Jauhar, Muhammad Miftah Mardliyati, Etik Maulana, Nurwenda Novan Rochman, Nurul Taufiqu Noviyanto, Alfian Banegas-Luna, Antonio J. Pérez-Sánchez, Horacio Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation |
title | Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation |
title_full | Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation |
title_fullStr | Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation |
title_full_unstemmed | Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation |
title_short | Computational Study of Asian Propolis Compounds as Potential Anti-Type 2 Diabetes Mellitus Agents by Using Inverse Virtual Screening with the DIA-DB Web Server, Tanimoto Similarity Analysis, and Molecular Dynamic Simulation |
title_sort | computational study of asian propolis compounds as potential anti-type 2 diabetes mellitus agents by using inverse virtual screening with the dia-db web server, tanimoto similarity analysis, and molecular dynamic simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268573/ https://www.ncbi.nlm.nih.gov/pubmed/35807241 http://dx.doi.org/10.3390/molecules27133972 |
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