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Discovery of mushroom-derived bioactive compound's draggability against nsP3 macro domain, nsP2 protease and envelope glycoprotein of Chikungunya virus: An in silico approach
- Source :
- Informatics in Medicine Unlocked, Vol 26, Iss , Pp 100753- (2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- The emerging mosquito-borne Chikungunya virus (CHIKV) infection is a massive threat in tropical areas and is rapidly expanding towards the temperate zones. This virus is causing recent epidemics worldwide, predominantly in Europe and North America. Moreover, CHIKV has a mounting impact on persons with possibly painful arthritis. Millions of positive cases have already been recorded in more than 100 countries worldwide. This virus is also capable of infecting new areas by travelers, which has made it more dreadful. However, for the dearth of approved therapeutics or vaccines to prevent or control the virus, it is essential to identify new and effective medicinal compounds to address this. Therefore, the non-structural protein nsP3 macro domain, nsP2 protease, and envelope proteins responsible for viral replication are the new target sites for therapeutic development. Mushrooms are abundant in bioactive compounds with antiviral properties. Thus, we performed molecular docking (MD) and dynamics simulation to identify the top candidates for nsP3 macro domains, nsP2 protease, and envelope glycoprotein complex inhibitors, as well as to predict possible therapeutic candidates. We then predicted the drug similarity for the best candidates based on higher binding affinity. Our findings suggest that mushroom-derived heliantriol F, semicochliodinol A, and semicochliodinol B are the best inhibitors. Based on the ligand, the predicted drugs allylestrenol (DB01431), calcitriol (DB00136), calcidiol (DB00146), benzonatate (DB02659), and gallamine triethiodide (DB00459) are recommended as alternative therapies for CHIKV.
Details
- Language :
- English
- ISSN :
- 23529148
- Volume :
- 26
- Issue :
- 100753-
- Database :
- Directory of Open Access Journals
- Journal :
- Informatics in Medicine Unlocked
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.4d8e720a75d4dae9fe8b9136e3c059d
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.imu.2021.100753