Mathematical Modeling Approaches to Understanding Severe Acute Respiratory Syn-drome Coronavirus 2 (SARSCoV-2) DNA Sequences Linked Coronavirus Disease (COVID-19) for Discovery of Potential New Drugs: OAJBS Publishers

Mathematical Modeling Approaches to Understanding Severe Acute Respiratory Syn-drome Coronavirus 2 (SARSCoV-2) DNA Sequences Linked Coronavirus Disease (COVID-19) for Discovery of Potential New Drugs by Mohammad Reza Dawoudi in Open Access Journal of Biomedical Science


The novel coronavirus called SARS Coronavirus-2 is associated with severe acute respiratory syndrome. At present, in-tensive care unit treatment and specialized treatment have been not available [1]. Mathematical modeling approaches to understanding the evolution of the DNA sequences of SARS0CoV-2, is an efficient way to design biochemical components interacting with the virus DNA structure. This study aimed to identify specific sets of nucleotides partially “mirror repeats” sets of nucleotides in DNA sequences of SARS0CoV-2. It is suggested that understanding of the “mirror repeats” (Generalized Smarandache Palindrome Sequence (S. Palindrome)) (Dawoudi 2018) sets of nucleotides can be informative in revealing virus gene functions. Under-standing more about coronavirus genome functions and transcriptomic level might allow drug designer to design exact treatments.
https://biomedscis.com/fulltext/mathematical-modeling-approaches-to-understanding-severe-acute-respiratory-syn-drome-coronavirus.ID.000173.php

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