ABSTRACT

SARS-CoV2 has affected millions of people around the globe with hundreds of mortalities. The emergence of SARS-COV2 is very recent, and there is no potential drug or vaccine available. In this review, we have compiled the most frequently used computational methods in drug discovery, target proteins of SARS-CoV2 as well as implementation of computational methods. Most recent literature on SARS-CoV2 has been compiled from various journal search engines including Google Scholar, Academia, PubMed, Scopus, Research Gate, and the Web of Science. The keywords chosen for the searches were COVID-19, Corona Virus, SARS-CoV2, drug development and future directions. This review has far reaching implications to both the public health and pharmaceutical industries for potential novel drug development against SARS-CoV2.

Key Words: SARS-CoV-2, COVID-19, In Silico Drug Design, Drug Repurposing.

How to cite this: Jamal SB, Naz S, Khan R, Haider A, Raza RZ, Abbasi SW.  Computational Methods in Road towards Drug Discovery against SARS-CoV2. 2020; 1(suppl): 16-21.  doi: http://doi.org/10.37185/LnS.1.1.166