Cargando…

Human miRNAs to Identify Potential Regions of SARS-CoV-2

[Image: see text] It is two years now but the world is still struggling against COVID-19 due to the havoc created by the SARS-CoV-2 virus and its multiple variants. Considering this perspective, in this work, we have hypothesized a new approach in order to identify potential regions in SARS-CoV-2 si...

Descripción completa

Detalles Bibliográficos
Autores principales: Ghosh, Nimisha, Saha, Indrajit, Sharma, Nikhil, Sarkar, Jnanendra Prasad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219091/
https://www.ncbi.nlm.nih.gov/pubmed/35755383
http://dx.doi.org/10.1021/acsomega.2c01907
_version_ 1784732033903230976
author Ghosh, Nimisha
Saha, Indrajit
Sharma, Nikhil
Sarkar, Jnanendra Prasad
author_facet Ghosh, Nimisha
Saha, Indrajit
Sharma, Nikhil
Sarkar, Jnanendra Prasad
author_sort Ghosh, Nimisha
collection PubMed
description [Image: see text] It is two years now but the world is still struggling against COVID-19 due to the havoc created by the SARS-CoV-2 virus and its multiple variants. Considering this perspective, in this work, we have hypothesized a new approach in order to identify potential regions in SARS-CoV-2 similar to the human miRNAs. Thus, they may have similar consequences as caused by the human miRNAs in human body. Therefore, the same way by which human miRNAs are inhibited can be applied for such potential regions of virus as well by administering drugs to the interacting human proteins. In this regard, the multiple sequence alignment technique Clustal Omega is used to align 2656 human miRNAs with the SARS-CoV-2 reference genome to identify the potential regions within the virus reference genome which have high similarities with the human miRNAs. The potential regions in virus genome are identified based on the highest number of nucleotide match, greater than or equal to 5 at a genomic position, for the aligned miRNAs. As a result, 38 potential SARS-CoV-2 regions are identified consisting of 249 human miRNAs. Among these 38 potential regions, some top regions belong to nucleocapsid, RdRp, helicase, and ORF8. To understand the biological significance of these potential regions, the targets of the human miRNAs are considered for KEGG pathways and protein–protein and drug–protein interaction analysis as the human miRNAs are similar to the potential regions of SARS-CoV-2. Significant pathways are found which lead to comorbidities. Subsequently, drugs like emodin, bicalutamide, vorinostat, etc. are identified that may be used for clinical trials.
format Online
Article
Text
id pubmed-9219091
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-92190912022-06-24 Human miRNAs to Identify Potential Regions of SARS-CoV-2 Ghosh, Nimisha Saha, Indrajit Sharma, Nikhil Sarkar, Jnanendra Prasad ACS Omega [Image: see text] It is two years now but the world is still struggling against COVID-19 due to the havoc created by the SARS-CoV-2 virus and its multiple variants. Considering this perspective, in this work, we have hypothesized a new approach in order to identify potential regions in SARS-CoV-2 similar to the human miRNAs. Thus, they may have similar consequences as caused by the human miRNAs in human body. Therefore, the same way by which human miRNAs are inhibited can be applied for such potential regions of virus as well by administering drugs to the interacting human proteins. In this regard, the multiple sequence alignment technique Clustal Omega is used to align 2656 human miRNAs with the SARS-CoV-2 reference genome to identify the potential regions within the virus reference genome which have high similarities with the human miRNAs. The potential regions in virus genome are identified based on the highest number of nucleotide match, greater than or equal to 5 at a genomic position, for the aligned miRNAs. As a result, 38 potential SARS-CoV-2 regions are identified consisting of 249 human miRNAs. Among these 38 potential regions, some top regions belong to nucleocapsid, RdRp, helicase, and ORF8. To understand the biological significance of these potential regions, the targets of the human miRNAs are considered for KEGG pathways and protein–protein and drug–protein interaction analysis as the human miRNAs are similar to the potential regions of SARS-CoV-2. Significant pathways are found which lead to comorbidities. Subsequently, drugs like emodin, bicalutamide, vorinostat, etc. are identified that may be used for clinical trials. American Chemical Society 2022-06-07 /pmc/articles/PMC9219091/ /pubmed/35755383 http://dx.doi.org/10.1021/acsomega.2c01907 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Ghosh, Nimisha
Saha, Indrajit
Sharma, Nikhil
Sarkar, Jnanendra Prasad
Human miRNAs to Identify Potential Regions of SARS-CoV-2
title Human miRNAs to Identify Potential Regions of SARS-CoV-2
title_full Human miRNAs to Identify Potential Regions of SARS-CoV-2
title_fullStr Human miRNAs to Identify Potential Regions of SARS-CoV-2
title_full_unstemmed Human miRNAs to Identify Potential Regions of SARS-CoV-2
title_short Human miRNAs to Identify Potential Regions of SARS-CoV-2
title_sort human mirnas to identify potential regions of sars-cov-2
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219091/
https://www.ncbi.nlm.nih.gov/pubmed/35755383
http://dx.doi.org/10.1021/acsomega.2c01907
work_keys_str_mv AT ghoshnimisha humanmirnastoidentifypotentialregionsofsarscov2
AT sahaindrajit humanmirnastoidentifypotentialregionsofsarscov2
AT sharmanikhil humanmirnastoidentifypotentialregionsofsarscov2
AT sarkarjnanendraprasad humanmirnastoidentifypotentialregionsofsarscov2