Possibility to Interfere with Coronavirus RNA Replication Analyzed by Resonant Recognition Model

Autor:	Drasko Cosic, Ivan Loncarevic, Irena Cosic
Rok vydání:	2021
Předmět:	chemistry.chemical_classification Chemistry fungi RNA Computational biology medicine.disease_cause Virus chemistry.chemical_compound Replication (statistics) medicine Nucleotide DNA Macromolecule Single-Stranded RNA Coronavirus
Zdroj:	International Journal of Sciences. 10:22-28
ISSN:	2305-3925 2410-4477
DOI:	10.18483/ijsci.2482
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ab3ae1d8a98b1b91e0b0f8cbdfb15036 https://doi.org/10.18483/ijsci.2482 Zobrazit plný text záznamu