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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
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.
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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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