Dissecting the Drug Development Strategies Against SARS-CoV-2 Through Diverse Computational Modeling Techniques
The world of the twenty-first century has not experienced such a lockdown situation before, which leads to a complete shutdown of economy not until the novel coronavirus disease 2019 (COVID-19) came caused by the severe acute respiratory syndrome coronavi
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Dissecting the Drug Development Strategies Against SARSCoV-2 Through Diverse Computational Modeling Techniques Nilanjan Adhikari, Sk. Abdul Amin, and Tarun Jha Abstract The world of the twenty-first century has not experienced such a lockdown situation before, which leads to a complete shutdown of economy not until the novel coronavirus disease 2019 (COVID-19) came caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It becomes an unacceptable global threat to human lives. The COVID-19 has been known only worldwide in the last few months, but it is spreading in a speed of light from Wuhan, China, to the rest of the world. About 2 crore of people have been infected and more than 7 lakh of people have died worldwide till now due to the deadly SARS-CoV2 infection. There are still no drugs exclusively available in the market for the treatment of SARS-CoV2 infection, though supportive treatment of hydroxychloroquine, ribavirin, favipiravir, and remdesivir have shown clinical evidences to treat COVID-19. Therefore, it is utmost importance for the medicinal chemists to design and discover novel drugs urgently to rescue or to protect the humanity worldwide from this deadly virus. However, lack of experimental evidences and understanding the behavior of the SARS-CoV2 within this short period may hinder the process of drug discovery. Still a ray of hope resides in the structural features of SARS-CoV-2 and related coronaviruses (SARS-CoV and MERS-CoV) as these are homologous. Therefore, depending on the established viral target proteins (spike protein, ACE-2, 3CLpro, PLpro, RdRp, helicase, as well as other viral proteins), novel chemical entities may be designed. In this context, several computational modeling approaches (generally structure-based modeling techniques) may be utilized which are cost-effective and less time-consuming. Different structure-based modeling techniques, namely, homology modeling, robust molecular docking, molecular dynamics simulation, and structure-based pharmacophore mapping followed by in silico virtual screening, may be effective and fruitful approaches to design compounds against SARS-CoV-2. In this chapter, various structure-based drug design and discovery strategies from target identification that could be optimized against SARS-CoV2 have been discussed in detail. Additionally, ongoing and previously reported computational modeling techniques performed by different groups of researchers on various SARS-CoV-2 target proteins have been highlighted elaborately. In addition to the identification techniques of drugs, this chapter also discloses their binding mode of action along with the pharmacokinetics and toxicity criteria computed by modeling techniques. This chapter, therefore, may be a stepping-stone for the researchers to open up a new horizon in the discovery of novel anti-coronavirus drugs in the future. Key words COVID-19, SARS-CoV-2, Target proteins, Molecular docking, Virtual screening, Molecular dynamics simulation
Nilanjan Adhikari et al.
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Introduction The w
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