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• W3210366944 abstract "The SARS-CoV-2 was identified in December 2019 and spread quickly around the globe. Around 218 countries with 61,468,916 cases have been diagnosed as of November 27, 2020. The epidemic quarantine and symptomatic care plan control are the first step of the treatment in the absence of medicines and vaccines. The need for treatments/therapeutics is in high demand. Pharma companies are working around the clock to develop these treatments/therapeutics. Several traditional medicines are also followed as the treatments/therapeutics across the globe. In India, the traditional medicine system ranks to be one of the topmost promising treatments/therapeutics for ages. In COVID-19, the medicinal products for treatment, prophylaxis, and convalescence were listed based on the Siddha Medicine advisory provided by the Ministry of AYUSH. These drugs are recommended for the treatment and prophylaxis of symptoms. In reality, however, these medications have been in vogue for infectious diseases like Dengue and Chikungunya for the past two decades. In parallel, the in silico studies are positively helping in the drug discovery and unravel the drug mechanisms. The computational protein modeling techniques also play a significant role in identifying all the reference genome's proteins. This chapter discussed Siddha and Quarantine's traditional insight in viral diseases, Virus-based drug repurposing for coronaviruses, and various treatment, including significant drug repurposing and BSAA combination therapy. We have also used computational modeling techniques to identify and model the individual protein structures from the whole genome of SARS CoV-2. Finally, this chapter will explain the steps taken to develop and repurpose Kabasura Kudineer as a drug to inhibit the COVID-19 pandemic." @default.
• W3210366944 created "2021-11-08" @default.
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• W3210366944 date "2021-11-02" @default.
• W3210366944 modified "2023-09-26" @default.
• W3210366944 title "Siddha Medicine and Computer Modeling: A Treasure for SARS-CoV-2 Treatment" @default.
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• W3210366944 doi "https://doi.org/10.1007/978-3-030-72834-2_15" @default.
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