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Computational analysis of functional monomers used in molecular imprinting for promising COVID-19 detection.

ABSTRACT: Today, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has recently caused a severe outbreak worldwide. There are still several challenges in COVID-19 diagnoses, such as limited reagents, equipment, and long turnaround times. In this research, we propose to design molecularly imprinted polymers as a novel approach for the rapid and accurate detection of SARS-CoV-2. For this purpose, we investigated molecular interactions between the target spike protein, receptor-binding domain of the virus, and the common functional monomers used in molecular imprinting by a plethora of computational analyses; sequence analysis, molecular docking, and molecular dynamics (MD) simulations. Our results demonstrated that AMPS and IA monomers gave promising results on the SARS-CoV-2 specific TEIYQAGST sequence for further analysis. Therefore, we propose an epitope approach-based synthesis route for specific recognition of SARS-CoV-2 by using AMPS and IA as functional monomers and the peptide fragment of the TEIYQAGST sequence as a template molecule.

SUBMITTER: Cubuk H

PROVIDER: S-EPMC7960027 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Computational analysis of functional monomers used in molecular imprinting for promising COVID-19 detection.

Cubuk Hasan H Ozbil Mehmet M Cakir Hatir Pinar P

Computational & theoretical chemistry 20210316

Today, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has recently caused a severe outbreak worldwide. There are still several challenges in COVID-19 diagnoses, such as limited reagents, equipment, and long turnaround times. In this research, we propose to design molecularly imprinted polymers as a novel approach for the rapid and accurate detection of SARS-CoV-2. For this purpose, we investigated molecular interactions between the target spike protein, receptor-binding domain of t ...[more]

PMID: 33747754

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Project description:Nucleoside analogs/derivatives (NAs/NDs) with potent antiviral activities are now deemed very convenient choices for the treatment of coronavirus disease 2019 (COVID-19) arisen by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. At the same time, the appearance of a new strain of SARS-CoV-2, the Omicron variant, necessitates multiplied efforts in fighting COVID-19. Counteracting the crucial SARS-CoV-2 enzymes RNA-dependent RNA polymerase (RdRp) and 3'-to-5' exoribonuclease (ExoN) jointly altogether using the same inhibitor is a quite successful new plan to demultiplicate SARS-CoV-2 particles and eliminate COVID-19 whatever the SARS-CoV-2 subtype is (due to the significant conservation nature of RdRps and ExoNs in the different SARS-CoV-2 strains). Successive in silico screening of known NAs finally disclosed six different promising NAs, which are riboprine/forodesine/tecadenoson/nelarabine/vidarabine/maribavir, respectively, that predictably can act through the planned dual-action mode. Further in vitro evaluations affirmed the anti-SARS-CoV-2/anti-COVID-19 potentials of these NAs, with riboprine and forodesine being at the top. The two NAs are able to effectively antagonize the replication of the new virulent SARS-CoV-2 strains with considerably minute in vitro anti-RdRp and anti-SARS-CoV-2 EC50 values of 189 and 408 nM for riboprine and 207 and 657 nM for forodesine, respectively, surpassing both remdesivir and the new anti-COVID-19 drug molnupiravir. Furthermore, the favorable structural characteristics of the two molecules qualify them for varied types of isosteric and analogistic chemical derivatization. In one word, the present important outcomes of this comprehensive dual study revealed the anticipating repurposing potentials of some known nucleosides, led by the two NAs riboprine and forodesine, to successfully discontinue the coronaviral-2 polymerase/exoribonuclease interactions with RNA nucleotides in the SARS-CoV-2 Omicron variant (BA.5 sublineage) and accordingly alleviate COVID-19 infections, motivating us to initiate the two drugs' diverse anti-COVID-19 pharmacological evaluations to add both of them betimes in the COVID-19 therapeutic protocols.

Dataset Information

Computational analysis of functional monomers used in molecular imprinting for promising COVID-19 detection.

Publications

Computational analysis of functional monomers used in molecular imprinting for promising COVID-19 detection.

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