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Identification of Effective and Nonpromiscuous Antidiabetic Drug Molecules from Penicillium Species
Diabetes mellitus (DM) is a very common metabolic disorder/disease. The deterioration of β-cells by autoimmune system is the hallmark of this disease. Thioredoxin-Interacting Protein (TXNIP) is responsible for β-cells degradation by T-cells in the pancreas. This protein had been declared a good drug...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200499/ https://www.ncbi.nlm.nih.gov/pubmed/35722152 http://dx.doi.org/10.1155/2022/7040547 |
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author | Saleem, Shahzad Bibi, Shabana Yousafi, Qudsia Hassan, Tehzeem Khan, Muhammad Saad Hasan, Mohammad Mehedi Chopra, Hitesh Moustafa, Mahmoud Al-Shehri, Mohammed Khalid, Mohammad Kabra, Atul |
author_facet | Saleem, Shahzad Bibi, Shabana Yousafi, Qudsia Hassan, Tehzeem Khan, Muhammad Saad Hasan, Mohammad Mehedi Chopra, Hitesh Moustafa, Mahmoud Al-Shehri, Mohammed Khalid, Mohammad Kabra, Atul |
author_sort | Saleem, Shahzad |
collection | PubMed |
description | Diabetes mellitus (DM) is a very common metabolic disorder/disease. The deterioration of β-cells by autoimmune system is the hallmark of this disease. Thioredoxin-Interacting Protein (TXNIP) is responsible for β-cells degradation by T-cells in the pancreas. This protein had been declared a good drug target for controlling DM. Lots of side effects have been reported as a result of long-time consumption of conventional antidiabetic drugs. The development of new and effective drugs with the minimal side effects needs time. TXNIP was selected as a target for Computer-Aided Drug Design. The antidiabetic fungal metabolite compounds were selected from the literature. The compounds were screened for their drug-likeness properties by DruLiTo and DataWarior tools. Twenty-two drug-like fungal compounds were subjected to Quantitative Structure-Activity Relationship (QSAR) analysis by using CheS-Mapper 2.0. The lowest (0.01) activity cliff was found for three compounds: Pinazaphilone A, Pinazaphilone B, and Chermesinone A. The highest value for apol (81.76) was shown by Asperphenamate, while Albonoursin and Sterenin L showed highest score (40.66) for bpol. The lowest value (0.46) for fractional molecular frame (FMF) was calculated for Pinazaphilone A and Pinazaphilone B. TPSA for Pinazaphilone A and Pinazaphilone B was 130.51 Å(2). log P < 5 was observed for all the twenty-two compounds. Molecular docking of fungal compounds with TXNIP was done by AutoDock Vina. The binding energy for complexes ranged between −9.2 and −4.6 kcal/mol. Four complexes, TXNIP-Pinazaphilone A, TXNIP-Pinazaphilone B, TXNIP-Asperphenamate, and TXNIP-Sterenin L, were selected for MD simulation to find out the best lead molecule. Only one complex, TXNIP-Pinazaphilone B, showed a stable conformation throughout the 80 ns run of MD simulation. Pinazaphilone B derived from the Penicillium species fungi was selected as the lead molecule for development of antidiabetic drug having the least side effects. |
format | Online Article Text |
id | pubmed-9200499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92004992022-06-16 Identification of Effective and Nonpromiscuous Antidiabetic Drug Molecules from Penicillium Species Saleem, Shahzad Bibi, Shabana Yousafi, Qudsia Hassan, Tehzeem Khan, Muhammad Saad Hasan, Mohammad Mehedi Chopra, Hitesh Moustafa, Mahmoud Al-Shehri, Mohammed Khalid, Mohammad Kabra, Atul Evid Based Complement Alternat Med Research Article Diabetes mellitus (DM) is a very common metabolic disorder/disease. The deterioration of β-cells by autoimmune system is the hallmark of this disease. Thioredoxin-Interacting Protein (TXNIP) is responsible for β-cells degradation by T-cells in the pancreas. This protein had been declared a good drug target for controlling DM. Lots of side effects have been reported as a result of long-time consumption of conventional antidiabetic drugs. The development of new and effective drugs with the minimal side effects needs time. TXNIP was selected as a target for Computer-Aided Drug Design. The antidiabetic fungal metabolite compounds were selected from the literature. The compounds were screened for their drug-likeness properties by DruLiTo and DataWarior tools. Twenty-two drug-like fungal compounds were subjected to Quantitative Structure-Activity Relationship (QSAR) analysis by using CheS-Mapper 2.0. The lowest (0.01) activity cliff was found for three compounds: Pinazaphilone A, Pinazaphilone B, and Chermesinone A. The highest value for apol (81.76) was shown by Asperphenamate, while Albonoursin and Sterenin L showed highest score (40.66) for bpol. The lowest value (0.46) for fractional molecular frame (FMF) was calculated for Pinazaphilone A and Pinazaphilone B. TPSA for Pinazaphilone A and Pinazaphilone B was 130.51 Å(2). log P < 5 was observed for all the twenty-two compounds. Molecular docking of fungal compounds with TXNIP was done by AutoDock Vina. The binding energy for complexes ranged between −9.2 and −4.6 kcal/mol. Four complexes, TXNIP-Pinazaphilone A, TXNIP-Pinazaphilone B, TXNIP-Asperphenamate, and TXNIP-Sterenin L, were selected for MD simulation to find out the best lead molecule. Only one complex, TXNIP-Pinazaphilone B, showed a stable conformation throughout the 80 ns run of MD simulation. Pinazaphilone B derived from the Penicillium species fungi was selected as the lead molecule for development of antidiabetic drug having the least side effects. Hindawi 2022-06-08 /pmc/articles/PMC9200499/ /pubmed/35722152 http://dx.doi.org/10.1155/2022/7040547 Text en Copyright © 2022 Shahzad Saleem et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Saleem, Shahzad Bibi, Shabana Yousafi, Qudsia Hassan, Tehzeem Khan, Muhammad Saad Hasan, Mohammad Mehedi Chopra, Hitesh Moustafa, Mahmoud Al-Shehri, Mohammed Khalid, Mohammad Kabra, Atul Identification of Effective and Nonpromiscuous Antidiabetic Drug Molecules from Penicillium Species |
title | Identification of Effective and Nonpromiscuous Antidiabetic Drug Molecules from Penicillium Species |
title_full | Identification of Effective and Nonpromiscuous Antidiabetic Drug Molecules from Penicillium Species |
title_fullStr | Identification of Effective and Nonpromiscuous Antidiabetic Drug Molecules from Penicillium Species |
title_full_unstemmed | Identification of Effective and Nonpromiscuous Antidiabetic Drug Molecules from Penicillium Species |
title_short | Identification of Effective and Nonpromiscuous Antidiabetic Drug Molecules from Penicillium Species |
title_sort | identification of effective and nonpromiscuous antidiabetic drug molecules from penicillium species |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200499/ https://www.ncbi.nlm.nih.gov/pubmed/35722152 http://dx.doi.org/10.1155/2022/7040547 |
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