Possibility to Interfere with Coronavirus RNA Replication Analyzed by Resonant Recognition Model
Irena Cosic,
Drasko Cosic and
Ivan Loncarevic
International Journal of Sciences, 2021, vol. 10, issue 06, 22-28
Abstract:
To be able to design vaccine or even a cure for COVID-19, it is particularly important to understand how SARS-CoV-2, as a single stranded RNA virus, is multiplied within host cells and which factors are controlling this multiplication. Here, we have analyzed the process of coronavirus RNA replication within host cell with the aim to find out the characteristics of this process. For that purpose, we have utilized the Resonant Recognition Model (RRM), which is biophysical model capable of identifying parameters (frequencies) related to specific macromolecular (protein, DNA, RNA) functions and/or interactions. The RRM model is unique with its capability to directly analyze interactions between amino acid macromolecules (proteins) and nucleotide macromolecules (DNA, RNA). Using the RRM model, we have identified parameters that characterize two steps in coronavirus RNA replication i.e., initiation of replication and replication by itself. These parameters can be used in our future research to design peptides, that will be able to interfere with either or both of those processes.
Keywords: COVID-19; SARS-CoV-2; Coronavirus; Coronavirus RNA Replication; Resonant Recognition Model (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.ijsciences.com/pub/article/2482 (text/html)
https://www.ijsciences.com/pub/pdf/V102021062482.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:adm:journl:v:10:y:2021:i:6:p:22-28
Ordering information: This journal article can be ordered from
https://www.ijsciences.com/payment_guide.php
DOI: 10.18483/ijSci.2482
Access Statistics for this article
More articles in International Journal of Sciences from Office ijSciences Alkhaer Publications Manchester M8 8XG England.
Bibliographic data for series maintained by Staff ijSciences ().