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Retrieval and Investigation of Data on SARS-CoV-2 and COVID-19 Using Bioinformatics Approach.

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TLDR
In this article, the authors report essential bioinformatics entities, such as database and platform development, molecular evolution and phylogenetic analyses, and vaccine designs, that are useful to solve the SARS-CoV-2 conundrum.
Abstract
Sudden emergence and a rapid outbreak of SARS-CoV-2 accompanied by a devastating impact on the economy and public health has driven extensive scientific mobilization to study and elucidate the various associated concerns about SARS-CoV-2. Bioinformatics plays a crucial role in addressing and providing solutions to questions about SARS-CoV-2. It helps shorten the duration for the vaccine development process and the discovery of potential clinical interventions through the simulation and information retrieval, and the development of well-ordered information hubs and resources, which are essential to derive data and meaningful findings from the current massive information about SARS-CoV-2. Advanced algorithms in this field also provide approaches that are essential to elucidate the relationship, origin, and evolutionary process of SARS-CoV-2. Here, we report essential bioinformatics entities, such as database and platform development, molecular evolution and phylogenetic analyses, and vaccine designs, that are useful to solve the SARS-CoV-2 conundrum.

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Journal ArticleDOI

Herbal combination from Moringa oleifera Lam. and Curcuma longa L. as SARS-CoV-2 antiviral via dual inhibitor pathway: A viroinformatics approach

TL;DR: In this paper , a combination of Moringa oleifera Lam and Curcuma longa L. is predicted to have antiviral and anti-inflammatory activity through dual inhibitor mechanism played by cryptochlorogenic acid and curcumin.
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Molecular Mechanism of Black Tea (Camellia sinensis) as SARS-CoV-2 Spike Glycoprotein Inhibitor through Computational Approach

TL;DR: In this paper , the authors identify the bioactive compounds from Camellia sinensis as an antiviral agent via spike glycoprotein inhibitor mechanisms against the SARS-CoV-2 infection through the in silico approach.
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Computational Drug Design Study of Curcuma longa L. Compound as HPV-16 Antiviral Candidate Against Cervical Cancer

TL;DR: In this paper , the authors predict the molecular mechanism and screening of drug candidate compounds in Curcuma longa L. to inhibit the activity of the human papillomavirus (HPV) E6 protein through a bioinformatics approach.
References
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Journal ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

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