In-silico studies of Phytochemicals from Allium sativum with H5N1 protein in Avian influenza

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Year : 2024 | Volume :02 | Issue : 02 | Page : –
By
vector

Avineet Singh Singh,

  1. Student, enter for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University, Uttar Pradesh, India

Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_129553’);});Edit Abstract & Keyword

Allium sativum or garlic is a medicinal plant that is reported for its applications in many biological activities, such as its antiviral, antidiabetic, anti-inflammatory properties etc. In this paper, the focus has been the identification of potential phytochemicals that can be extracted from Allium sativum that can act as a candidate for drug formation which possesses the capability to inhibit the H5N1 Avian Influenza, a type of highly pathogenic and zoonotic strain that poses major threat to the public health sector. Using the tools provided in the in-silico studies, screening of the 145 phytochemicals from Allium sativum is done against the two major H5N1 proteins i.e.,
Hemagglutinin (HA) and Neuraminidase (NA). The docking results provided with the result that many compounds have stable interaction with high binding affinity towards NA and HA throughout the stimulation time. These results suggest that phytochemicals from Allium sativum can be promising candidates for development of therapeutic agents against H5N1 virus.

Keywords: Docking, H5N1, HPAI, Garlic, Schrödinger, Allium sativum

[This article belongs to International Journal of Bioinformatics and Computational Biology (ijbcb)]

How to cite this article:
Avineet Singh Singh. In-silico studies of Phytochemicals from Allium sativum with H5N1 protein in Avian influenza. International Journal of Bioinformatics and Computational Biology. 2024; 02(02):-.
How to cite this URL:
Avineet Singh Singh. In-silico studies of Phytochemicals from Allium sativum with H5N1 protein in Avian influenza. International Journal of Bioinformatics and Computational Biology. 2024; 02(02):-. Available from: https://journals.stmjournals.com/ijbcb/article=2024/view=0

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Regular Issue Subscription Original Research
Volume 02
Issue 02
Received 15/11/2024
Accepted 26/11/2024
Published 28/12/2024
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