Identification of Phytochemicals Using GC-MS / LC-MS-MS Techniques and Modeling Studies against COVID-19 Targets

The ‘Severe Acute Respiratory Syndrome – Corona Virus -2’ (SARS-CoV2), identified first in China on 31st December 2019, immediately became a pandemic health concern. ‘Coronavirus Disease–2019’ (COVID-19) outbreak wasdeclared a global pandemic by the WHO in March 2020. More than 4,786,203 people died as a result of this illness, and about 233,908,734 people worldwide had been infected as of 1 st October 2021. Multi-organ involvement of COVID-19 often leads to death and other complications like cerebrovascular and various thyroid diseases. As SARS-CoV-2 has a level of resemblance with SARS-CoV, the antivirals used earlier have been attempted in the COVID-19 treatment. Proposing new antivirals is a lengthy process for SARSCoV2, and drug repurposing is also another route to reduce the number of deaths. SARS-CoV-2-infected patients who already have diseases like diabetes, hypertension, etc., are at more risk. Using phytocompounds as a control of SARS-CoV2 is also the need of the hour as the side effects of these are expected to be very less compared to the synthetic ones or vaccines. This review covers the above aspects in detail and reports the outcomes for the past few years period. The use of bioinformatics tools is also emphasized in this chapter.