Identification of novel drug candidate against Mycobacterium Tuberculosis InhA protein through Computer aided drug discovery
| Autor: | Shefin Nisthar, Bindu Sunilkumar, Nisha T. Nair |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Tuberculosis
biology Drug discovery INHA medicine.drug_class Antibiotics Computational biology medicine.disease biology.organism_classification Mycobacterium tuberculosis Docking (molecular) Infectious disease (medical specialty) Immunology medicine General Pharmacology Toxicology and Pharmaceutics Mycobacterium |
| Zdroj: | Indian Journal of Pharmaceutical Education and Research. 50:574-582 |
| ISSN: | 0019-5464 |
| DOI: | 10.5530/ijper.50.4.9 |
| Popis: | Tuberculosis is a common and often deadly infectious disease caused by Mycobacteria. WHO estimates that around eight million people are suffering from tuberculosis every year. The Administration of antibiotics fails due to the multi-drug resistant capability of Mycobacterium. Traditional methods require time and huge investment. Therefore, it is essential to provide an alternative strategy to treat tuberculosis disease. The present study conducted molecular docking against InhA protein, which is a potential target of tuberculosis disease. After docking with 1200 ligand molecule, 30 hits were selected based on the GOLD score. Finally, five potential hits were identified after redocking. The hydrogen bonding pattern, Lipinski’s rule, and drug likeliness were also checked for their potentiality as suitable drug candidates. We believe that our study will facilitate the selection of InhA as a potential target and selected hits as successful drug candidates for tuberculosis diseases. (Less) |
| Databáze: | OpenAIRE |
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