همایش ملی بیوانفورماتیک ایران

صفحه اصلی / 4th international edition and 13th Iranian Conference on Bioinformatics

Herbal Drug Candidate as DNA Gyrase Inhibitor in M. Tuberculosis (Causative Agent of Tuberculosis)

نویسندگان :

Ali Abolhasanzadeh Parizi¹

1- University of Sistan and Baluchestan

کلمات کلیدی :

Tuberculosis (TB)،Mycobacterium tuberculosis،CAS/NITR204 strain،DNA Gyrase،Herbal medicine

چکیده :

Introduction: Tuberculosis (TB) remains a global health emergency according to WHO (Chakaya et al., 2021), with Sistan and Baluchistan province showing concerning rates, probably related to its long border with Pakistan and Afghanistan, where the CAS family of TB bacteria is prevalent (Haeili et al., 2013). TB, caused by Mycobacterium tuberculosis (Shradheya et al., 2020), primarily affects the lungs (Beiranvand et al., 2014). Some recent studies indicate that natural compounds may offer promising treatment options (Shashidhar et al., 2015, Verma et al., 2023). This research aims to use computational tools to 1) analyze drug resistance probability in the most studied CAS strain (CAS/NITR204) and 2) identify a potential herbal drug candidate that inhibits bacterial DNA gyrase, an essential enzyme for DNA replication, comparing it with moxifloxacin, a known synthetic antibiotic against the bacterial DNA gyrase. Methods: The study first compared protein sequences from H37Rv and CAS/NITR204 strains, focusing on rpoB, inhA, katG, pncA, gyrA, and gyrB from UniProt and NCBI databases using Clustal Omega alignment (Sievers and Higgins, 2014). The 3D structure of the drug target was prepared using the PDB database (Berman et al., 2000). Further investigations assessed drug resistance probability in the CAS/NITR204 variant. Molecular docking was performed using Maestro software (Schrödinger LLC) with about 450 natural ligands collected from Sistan and Baluchistan medicinal plants. Docking utilized Glide module with extra precision mode, and protein-ligand binding energies were calculated via MM-GBSA, compared to moxifloxacin. Top candidates were visualized in PyMOL (Schrödinger LLC) to analyze their positioning in the enzyme active site. Results: The analyzed proteins showed that GyrA (DNA Gyrase subunit A) had five mutations, including two in the Quinolone Resistance-Determining Regions (QRDR). Although these mutations did not align with known patterns that typically cause resistance, GyrA was identified as the most likely target for further investigation into drug resistance. Additional studies revealed no significant differences in the interaction patterns of moxifloxacin between the CAS/NITR204 and H37Rv strains, suggesting that the CAS/NITR204 strain has likely not developed antibiotic resistance. Two natural compounds derived from the black myrobalan plant (Terminalia chebula) were identified as the most promising potential inhibitors of DNA gyrase. The first compound, Chebulinic Acid (ZINC000169356891), exhibited mean docking and MM-GBSA scores of -48.15 kcal/mol for the H37Rv strain and -42.9 kcal/mol for the CAS/NITR204 strain in chain 1. The second compound, 3,4,6-tri-O-galloyl-beta-D-glucose (PubChem CID: 14188641), demonstrated scores of -38.13 kcal/mol for H37Rv and -39.58 kcal/mol for CAS/NITR204 in chain 2. In comparison, moxifloxacin recorded approximately -25.7 kcal/mol scores for both strains and chains. Both natural compounds showed a stronger binding affinity than moxifloxacin, suggesting that Terminalia chebula could be a viable treatment option for both strains. Conclusion: This study identified a local medicinal plant from Sistan and Baluchistan as a potential treatment for tuberculosis, a disease prevalent in this region. Two compounds derived from the myrobalan plant (Terminalia chebula) exhibited stronger binding affinities to the bacterial DNA gyrase than moxifloxacin. This suggests potential efficacy against the H37Rv and CAS/NITR204 strains, although further clinical validation is necessary.

لیست مقالات

لیست مقالات بایگانی شده

Comprehensive Gene and Protein Catalog for Antimicrobial Environments: A Metagenomic Approach to Mitigate Antimicrobial Resistance

Donya Afshar Jahanshahi - Arad Ariaeenejad - Arman Hasannejad - Mohammad Reza Zabihi - Shohreh Ariaeenejad - Kaveh Kavousi

Enhancing NAFLD Diagnosis with AI: Insights from the Persian Fasa Cohort Through Advanced Machine Learning Techniques

Marzie Shadpirouz - Mohammad Reza Zabihi - Zahra Salehi - Kiarash Zare - Mohammad Mehdi Naghizadeh - Kaveh Kavousi

Analysis of enrichment pathways and ontology of genes related to Feed efficiency in sheep

Mehre Mohammadnezhad - Mohsen Gholizadeh

Targeting Protein in Neurodegenerative Diseases: A Computational Approach

Reyhaneh Ebrahimi - Seyed Hassan Alavi - Fayaz Soleymani - Fatemeh Zare-Mirakabad

Multi-Target Drug Discovery for Rheumatoid Arthritis: A Comprehensive Computational Approach Using Bioactive Compounds

Pegah Mansouri - Pardis Mansouri - Sohrab Najafipour - Seyed Amin Kouhpayeh - Akbar Farjadfar - Esmaeil Behmard

Predicting drug response using omics data and artificial intelligence approach in cancer

Abdolhamid Nazerpanahi - Mohammad Ali Hossein Beigy - Amirhossein Keyhanipour - Kaveh Kavousi - Siavash Kavousi

Statistical Investigation on the Occurrence of Liquid-Liquid Phase Separation in Proteins Involved in Neurodegenerative Proteins

Pouya Alimohammadi - Saeed Emadi - Mahdi Vasighi

Bioinformatics investigation of the structure and function of photoprotein mnemiopsin2 following Glutamine 23 substitutions using a site-directed mutagenesis

Zahra Karimi Takaromi - Vahab Jafarian - Amir Dehghani - Khosrow Khalifeh - Fateme Khatami

Designing self-assembled peptide nanovaccine (SAPN) against Respiratory syncytial virus (RSV): An Immunoinformatic approach

Marzieh Mehdieh - Farahnaz Zare

Using interpretable deep learning models and multi-objective data for computational discovery of new drugs

Masoud Ahmadlou

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.7.0