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Dexrazoxane: Exposing the Vulnerability of SARS-CoV-2

Submitted:

08 December 2022

Posted:

09 December 2022

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Abstract
In 2018, the author identified a previously unknown/unreported association between dexrazoxane and poly(ADP-ribose) (PAR). Interestingly, PAR is a close structural analogue of the polyadenine nucleotide polymer, polyadenosine monophosphate (poly(A)). In this report, subsequent in silico modelling of the interaction between dexrazoxane and poly(A) reveals some notable differences from the previously reported interaction between dexrazoxane and PAR. Significantly, the supramolecular self-assembly of dexrazoxane and poly(A) is distinguished by vertically-orientated nonelectrostatic forces comparable to the stabilizing interactions between stacked bases within DNA. Notably, the vertical separation of 3.4 Å between each stack is consistent with solvent entropy as a dominant driving force in stabilising the interaction. Additionally, concomitant conformational analysis by the author reveals the existence of low energy planar conformers of dexrazoxane. This analysis enables an explanation for the considerable discrepancies and conflicts that exist within the reported pharmacokinetic data for dexrazoxane. Exploring the significance of the interaction between dexrazoxane and poly(A), the author illustrates that survival, translation and replication of the severe acute respiratory syndrome virus 2 (SARS-CoV-2) is absolutely dependent upon the mature and unhindered poly(A) tail of the SARS-CoV-2 genome. The proposition herein, that dexrazoxane, as a chameleonic agent sequesters the poly(A) tail of the SARS-CoV-2 genome by the catalysis of a supramolecular hybrid assembly establishes SARS-CoV-2 infected cells as deep compartments for the accumulation of dexrazoxane. Taken together, dexrazoxane or its demethylated analogue, represent a novel treatment to kill the SARS-CoV-2 virus by irreversible destabilization of the SARS-CoV-2 poly(A) tail.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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