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In Silico Approach: A Futuristic Way to Find Solutions for COVID 19

Abstract

Prachi Srivastava

In the present situation, a small virus is creating a biggest problem for the entire globe.SARS-CoV-2 has become burning issue of 2020. The pandemic has forced the complete world to think about the solutions that can lead us to restart the journey of life in a normal way. Every country is trying all possible steps to combat the disease ranging from shutting the complete economy of the country to re purposing of drugs and development of specific vaccine. The speedy data generation and its analysis through different basic to advance tools, software and databases has made Bioinformatics capable of giving new insights to the researchers to deal with the current scenario more efficiently. There are many recent online applications of computational advancements through which valuable information can be interpreted which may generate some meaningful information for drug and vaccine development. Different in silico approaches viz genomic, proteomics, systems biology, high throughput data analysis, next generation sequencing, etc may be used to get consequential information regarding COVID 19. Beside this, Nanoinformatics as a part of nanotechnology has emerged to bring new hope for development of safe protection equipments, accurate and scalable detection protocols with affordable medical solutions. Nanosensors show their great efficiency in detecting bacteria & virus at very low concentration leading to be a possible biomarker for early disease diagnosis &detection. A nano-filter having better filtering efficacy can be use as re-usable mask during the pandemic challenges. Nanoparticles, that have proven their potential against deadly viruses like influenza and Ebola can be possibly used as drug delivery against SARS-CoV-2 also. Therefore, Nanotechnology plays significant role to provide solutions in reducing acute and chronic effects of COVID-19 pandemic.

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado

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