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Numerical Descriptors of Top Ranked Zinc Databased Inhibitors of Sars Cov-2

M.C. Shanmukha, A. x A. Usha, Mohammad Reza Farahani, Mehdi Alaeiyan, Murat Cancan

Abstract

From the year 2019, the pandemic has been a threat to mankind and the entire world is behind the making of the SARS-COV-2 vaccine. This work attempts to find various topological indices such as ABC(G), χ(G), S(G), GA(G), M1(G), M2(G), H(G), ZG3(G), SSD(G), I(G), A(G), mM2(G) for top-ranked Zinc database molecules of SARS-COV-2 inhibitors as per ChemAI. ChemAI is a network where chemistry uses artificial intelligence to test various chemicals using the Turing test. A conclusion is drawn for the Zinc database molecules with respect to physical property, logP to understand Lipophilicity since, if any variant like Covid comes, Zinc database molecules alone and also in combination are the main supplements required as a preliminary for all human beings.

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Citation

. Numerical Descriptors of Top Ranked Zinc Databased Inhibitors of Sars Cov-2. Archives Des Sciences, In Press: . DOI: .