KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/76704
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Manoj Kumar Gupta | en_US |
dc.contributor.author | Sarojamma Vemula | en_US |
dc.contributor.author | Ravindra Donde | en_US |
dc.contributor.author | Gayatri Gouda | en_US |
dc.contributor.author | Lambodar Behera | en_US |
dc.contributor.author | Ramakrishna Vadde | en_US |
dc.date.accessioned | 2023-04-06T08:34:08Z | - |
dc.date.available | 2023-04-06T08:34:08Z | - |
dc.date.issued | 2020-04-15 | - |
dc.identifier.citation | Manoj Kumar Gupta, Sarojamma Vemula, Ravindra Donde, Gayatri Gouda, Lambodar Behera & Ramakrishna Vadde (2021) In-silico approaches to detect inhibitors of the human severe acute respiratory syndrome coronavirus envelope protein ion channel, Journal of Biomolecular Structure and Dynamics, 39:7, 2617-2627, DOI: 10.1080/07391102.2020.1751300 | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/76704 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Recent outbreak of Coronavirus disease (COVID-19) pandemic around the world is associated with ‘severe acute respiratory syndrome’ (SARS-CoV2) in humans. SARS-CoV2 is an enveloped virus and E proteins present in them are reported to form ion channels, which is mainly associated with pathogenesis. Thus, there is always a quest to inhibit these ion channels, which in turn may help in controlling diseases caused by SARS-CoV2 in humans. Considering this, in the present study, authors employed computational approaches for studying the structure as well as function of the human ‘SARS-CoV2 E’ protein as well as its interaction with various phytochemicals. Result obtained revealed that a-helix and loops present in this protein experience random movement under optimal condition, which in turn modulate ion channel activity; thereby aiding the pathogenesis caused via SARS-CoV2 in human and other vertebrates. However, after binding with Belachinal, Macaflavanone E, and Vibsanol B, the random motion of the human ‘SARS-CoV2 E’ protein gets reduced, this, in turn, inhibits the function of the ‘SARS-CoV2 E’ protein. It is pertinent to note that two amino acids, namely VAL25 and PHE26, play a key role while interacting with these three phytochemicals. As these three phytochemicals, namely, Belachinal, Macaflavanone E & Vibsanol B, have passed the ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) property as well as ‘Lipinski’s Rule of 5s’, they may be utilized as drugs in controlling disease caused via SARS-COV2, after further investigation. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Taylor and Francis | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Coronaviruses | en_US |
dc.subject | severe acute respiratory syndrome | en_US |
dc.subject | docking | en_US |
dc.subject | modeling | en_US |
dc.subject | molecular dynamics | en_US |
dc.title | In-silico approaches to detect inhibitors of the human severe acute respiratory syndrome coronavirus envelope protein ion channel | 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 | Journal of Biomolecular Structure and Dynamics | en_US |
dc.publication.volumeno | 39 | en_US |
dc.publication.pagenumber | 2617–2627 | en_US |
dc.publication.divisionUnit | Crop Improvement Division | en_US |
dc.publication.sourceUrl | https://doi.org/10.1080/07391102.2020.1751300 | en_US |
dc.publication.authorAffiliation | ICAR::National Rice Research Institute | en_US |
dc.publication.authorAffiliation | Department of Biotechnology & Bioinformatics, Yogi Vemana University, Kadapa, Andhra Pradesh, India | en_US |
dc.publication.authorAffiliation | Department of Microbiology, Government Medical College, Anantapur, Andhra Pradesh, India | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Research | en_US |
Appears in Collections: | CS-NRRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2021-COVID-Insilico-JBSD-MKG.pdf | 3.21 MB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.