Cargando…

Virus-host interaction analysis in colorectal cancer identifies core virus network signature and small molecules

Colorectal cancer (CRC) is a significant contributor to cancer-related deaths caused by an unhealthy lifestyle. Multiple studies reveal that viruses are involved in colorectal tumorigenesis. The viruses such as Human Cytomegalovirus (HCMV), Human papillomaviruses (HPV16 & HPV18), and John Cunnin...

Descripción completa

Detalles Bibliográficos
Autores principales: A.V.S, Sai Krishna, Sinha, Swati, Donakonda, Sainitin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356043/
https://www.ncbi.nlm.nih.gov/pubmed/35983230
http://dx.doi.org/10.1016/j.csbj.2022.07.040
_version_ 1784763430172884992
author A.V.S, Sai Krishna
Sinha, Swati
Donakonda, Sainitin
author_facet A.V.S, Sai Krishna
Sinha, Swati
Donakonda, Sainitin
author_sort A.V.S, Sai Krishna
collection PubMed
description Colorectal cancer (CRC) is a significant contributor to cancer-related deaths caused by an unhealthy lifestyle. Multiple studies reveal that viruses are involved in colorectal tumorigenesis. The viruses such as Human Cytomegalovirus (HCMV), Human papillomaviruses (HPV16 & HPV18), and John Cunningham virus (JCV) are known to cause colorectal cancer. The molecular mechanisms of cancer genesis and maintenance shared by these viruses remain unclear. We analysed the virus-host networks and connected them with colorectal cancer proteome datasets and extracted the core shared interactions in the virus-host CRC network. Our network topology analysis identified prominent virus proteins RL6 (HCMV), VE6 (HPV16 and HPV18), and Large T antigen (JCV). Sequence analysis uncovered short linear motifs (SLiMs) in each viral target. We used these targets to identify the antiviral drugs through a structure-based virtual screening approach. This analysis highlighted that temsavir, pimodivir, famotine, and bictegravir bind to each virus protein target, respectively. We also assessed the effect of drug binding using molecular dynamic simulations, which shed light on the modulatory effect of drug molecules on SLiM regions in viral targets. Hence, our systematic screening of virus-host networks revealed viral targets, which could be crucial for cancer therapy.
format Online
Article
Text
id pubmed-9356043
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Research Network of Computational and Structural Biotechnology
record_format MEDLINE/PubMed
spelling pubmed-93560432022-08-17 Virus-host interaction analysis in colorectal cancer identifies core virus network signature and small molecules A.V.S, Sai Krishna Sinha, Swati Donakonda, Sainitin Comput Struct Biotechnol J Research Article Colorectal cancer (CRC) is a significant contributor to cancer-related deaths caused by an unhealthy lifestyle. Multiple studies reveal that viruses are involved in colorectal tumorigenesis. The viruses such as Human Cytomegalovirus (HCMV), Human papillomaviruses (HPV16 & HPV18), and John Cunningham virus (JCV) are known to cause colorectal cancer. The molecular mechanisms of cancer genesis and maintenance shared by these viruses remain unclear. We analysed the virus-host networks and connected them with colorectal cancer proteome datasets and extracted the core shared interactions in the virus-host CRC network. Our network topology analysis identified prominent virus proteins RL6 (HCMV), VE6 (HPV16 and HPV18), and Large T antigen (JCV). Sequence analysis uncovered short linear motifs (SLiMs) in each viral target. We used these targets to identify the antiviral drugs through a structure-based virtual screening approach. This analysis highlighted that temsavir, pimodivir, famotine, and bictegravir bind to each virus protein target, respectively. We also assessed the effect of drug binding using molecular dynamic simulations, which shed light on the modulatory effect of drug molecules on SLiM regions in viral targets. Hence, our systematic screening of virus-host networks revealed viral targets, which could be crucial for cancer therapy. Research Network of Computational and Structural Biotechnology 2022-07-28 /pmc/articles/PMC9356043/ /pubmed/35983230 http://dx.doi.org/10.1016/j.csbj.2022.07.040 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
A.V.S, Sai Krishna
Sinha, Swati
Donakonda, Sainitin
Virus-host interaction analysis in colorectal cancer identifies core virus network signature and small molecules
title Virus-host interaction analysis in colorectal cancer identifies core virus network signature and small molecules
title_full Virus-host interaction analysis in colorectal cancer identifies core virus network signature and small molecules
title_fullStr Virus-host interaction analysis in colorectal cancer identifies core virus network signature and small molecules
title_full_unstemmed Virus-host interaction analysis in colorectal cancer identifies core virus network signature and small molecules
title_short Virus-host interaction analysis in colorectal cancer identifies core virus network signature and small molecules
title_sort virus-host interaction analysis in colorectal cancer identifies core virus network signature and small molecules
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356043/
https://www.ncbi.nlm.nih.gov/pubmed/35983230
http://dx.doi.org/10.1016/j.csbj.2022.07.040
work_keys_str_mv AT avssaikrishna virushostinteractionanalysisincolorectalcanceridentifiescorevirusnetworksignatureandsmallmolecules
AT sinhaswati virushostinteractionanalysisincolorectalcanceridentifiescorevirusnetworksignatureandsmallmolecules
AT donakondasainitin virushostinteractionanalysisincolorectalcanceridentifiescorevirusnetworksignatureandsmallmolecules