Identification of Effective and Nonpromiscuous Antidiabetic Drug Molecules from Penicillium Species

Author:

Saleem Shahzad1ORCID,Bibi Shabana23ORCID,Yousafi Qudsia1ORCID,Hassan Tehzeem1,Khan Muhammad Saad1ORCID,Hasan Mohammad Mehedi4ORCID,Chopra Hitesh5ORCID,Moustafa Mahmoud67ORCID,Al-Shehri Mohammed6,Khalid Mohammad8,Kabra Atul9ORCID

Affiliation:

1. COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan

2. Department of Biological Sciences, Shifa Tameer-e-Millat University, Islamabad, Pakistan

3. Yunnan Herbal Laboratory, College of Ecology and Environmental Sciences, Yunnan University, Kunming 10, Yunnan 650091, China

4. Department of Biochemistry and Molecular Biology, Faculty of Life Science, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh

5. Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, India

6. Department of Biology, College of Science, King Khalid University, Abha 9004, Saudi Arabia

7. Department of Botany and Microbiology, Faculty of Science, South Valley University, Qena, Egypt

8. Department of Pharmacognosy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia

9. University Institute of Pharma Sciences, Chandigarh University, Ghruan, Mohali 140413, Punjab, India

Abstract

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 Å2. 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.

Funder

King Khalid University

Publisher

Hindawi Limited

Subject

Complementary and alternative medicine

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