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http://krishi.icar.gov.in/jspui/handle/123456789/71577
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dharmashekara C | en_US |
dc.contributor.author | Pradeep S | en_US |
dc.contributor.author | Prasad SK | en_US |
dc.contributor.author | Jain AS | en_US |
dc.contributor.author | Syed A | en_US |
dc.contributor.author | Shiva Prasad K | en_US |
dc.contributor.author | Patil SS | en_US |
dc.contributor.author | Beelagi MS | en_US |
dc.contributor.author | Srinivasa C | en_US |
dc.contributor.author | Shivamallu C | en_US |
dc.date.accessioned | 2022-04-18T09:26:59Z | - |
dc.date.available | 2022-04-18T09:26:59Z | - |
dc.date.issued | 2021-05-11 | - |
dc.identifier.citation | Dharmashekara C, Pradeep S, Prasad SK, Jain AS, Syed A, Shiva Prasad K, Patil SS, Beelagi MS, Srinivasa C. and Shivamallu C (2021). Virtual screening of potential phyto-candidates as therapeutic leads against SARS-CoV-2 infection. Environmental Challenges (Elsevier), 4: 100136. https://doi.org/10.1016/j.envc.2021.100136 | en_US |
dc.identifier.issn | 2667-0100 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/71577 | - |
dc.description | Not Available | en_US |
dc.description.abstract | The outbreak of novel coronavirus strain (Covid-19) with a high pandemic threat has predict grave public health and economic concerns. This virus, originating from the Wuhan region in China has spread worldwide affecting millions with no registered persuasive targeted therapy. In this paper, we analyze the three important proteins encoded by the virus, envelope protein 5 × 29, RNA binding nucleocapsid protein 1SSK, and spike glycoprotein 6ACD, for an effective virion accumulation, and remdesivir was the first drug approved by the FDA and EMA for the treatment of COVID-19 cases that require hospitalization, there is still much controversy about its efficacy and also an alternative for novel phytochemicals, deoxynojirimycin, trigoneoside IB, and octanoic acid. The in-silico evaluations were conducted using the PyRx virtual screening tools which lead to the target based on high binding affinity. Trigoneoside IB, derived from Trigonella foenum-graecum (Fenugreek), showed the highest binding affinity and stable interaction with the amino acid residues present in active sites of Covid-19 proteins. Meanwhile, the other two compounds derived from Morus alba (Mulberry) and Morinda citrifolia (Noni), as well as the anti-HIV remdesivir drug exhibited good binding affinity and favorable ADME properties. Thereby offering scope for validation of the new therapeutic components for their in vitro and in vivo efficacy against the Covid-19 proteins. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Elsevier Publishing | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Covid-19 | en_US |
dc.subject | Phytochemicals | en_US |
dc.subject | Molecular docking | en_US |
dc.subject | Trigoneoside | en_US |
dc.subject | Fenugreek | en_US |
dc.title | Virtual screening of potential phyto-candidates as therapeutic leads against SARS-CoV-2 infection. | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Environmental Challenges | en_US |
dc.publication.volumeno | 4 | en_US |
dc.publication.pagenumber | 1-12 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://doi.org/10.1016/j.envc.2021.100136 | en_US |
dc.publication.authorAffiliation | Department of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education and Research, Mysuru, Karnataka 570015, India | en_US |
dc.publication.authorAffiliation | Department of Microbiology and Tissue Culture, School of Life Sciences, JSS Academy of Higher Education and Research, Mysuru, Karnataka 570015, India | en_US |
dc.publication.authorAffiliation | Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia | en_US |
dc.publication.authorAffiliation | Department of Sciences, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Mysuru campus, Karnataka, India | en_US |
dc.publication.authorAffiliation | National Institute of Veterinary Epidemiology and Disease Informatics | en_US |
dc.publication.authorAffiliation | Department of Studies in Biotechnology, Davangere University, Davangere 577007, Karnataka, India | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Peer reviewer journal | en_US |
Appears in Collections: | AS-NIVEDI-Publication |
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