Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates

Abstract The COVID-19 pandemic is raging. It revealed the importance of rapid scientific advancement towards understanding and treating new diseases. To address this challenge, we adapt an explainable artificial intelligence algorithm for data fusion and utilize it on new omics data on viral–host in...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Carme Zambrana, Alexandros Xenos, René Böttcher, Noël Malod-Dognin, Nataša Pržulj
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/245d217219a24046be298a5c3a9c30f9
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:245d217219a24046be298a5c3a9c30f9
record_format dspace
spelling oai:doaj.org-article:245d217219a24046be298a5c3a9c30f92021-12-02T18:48:02ZNetwork neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates10.1038/s41598-021-98289-x2045-2322https://doaj.org/article/245d217219a24046be298a5c3a9c30f92021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98289-xhttps://doaj.org/toc/2045-2322Abstract The COVID-19 pandemic is raging. It revealed the importance of rapid scientific advancement towards understanding and treating new diseases. To address this challenge, we adapt an explainable artificial intelligence algorithm for data fusion and utilize it on new omics data on viral–host interactions, human protein interactions, and drugs to better understand SARS-CoV-2 infection mechanisms and predict new drug–target interactions for COVID-19. We discover that in the human interactome, the human proteins targeted by SARS-CoV-2 proteins and the genes that are differentially expressed after the infection have common neighbors central in the interactome that may be key to the disease mechanisms. We uncover 185 new drug–target interactions targeting 49 of these key genes and suggest re-purposing of 149 FDA-approved drugs, including drugs targeting VEGF and nitric oxide signaling, whose pathways coincide with the observed COVID-19 symptoms. Our integrative methodology is universal and can enable insight into this and other serious diseases.Carme ZambranaAlexandros XenosRené BöttcherNoël Malod-DogninNataša PržuljNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Carme Zambrana
Alexandros Xenos
René Böttcher
Noël Malod-Dognin
Nataša Pržulj
Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates
description Abstract The COVID-19 pandemic is raging. It revealed the importance of rapid scientific advancement towards understanding and treating new diseases. To address this challenge, we adapt an explainable artificial intelligence algorithm for data fusion and utilize it on new omics data on viral–host interactions, human protein interactions, and drugs to better understand SARS-CoV-2 infection mechanisms and predict new drug–target interactions for COVID-19. We discover that in the human interactome, the human proteins targeted by SARS-CoV-2 proteins and the genes that are differentially expressed after the infection have common neighbors central in the interactome that may be key to the disease mechanisms. We uncover 185 new drug–target interactions targeting 49 of these key genes and suggest re-purposing of 149 FDA-approved drugs, including drugs targeting VEGF and nitric oxide signaling, whose pathways coincide with the observed COVID-19 symptoms. Our integrative methodology is universal and can enable insight into this and other serious diseases.
format article
author Carme Zambrana
Alexandros Xenos
René Böttcher
Noël Malod-Dognin
Nataša Pržulj
author_facet Carme Zambrana
Alexandros Xenos
René Böttcher
Noël Malod-Dognin
Nataša Pržulj
author_sort Carme Zambrana
title Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates
title_short Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates
title_full Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates
title_fullStr Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates
title_full_unstemmed Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates
title_sort network neighbors of viral targets and differentially expressed genes in covid-19 are drug target candidates
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/245d217219a24046be298a5c3a9c30f9
work_keys_str_mv AT carmezambrana networkneighborsofviraltargetsanddifferentiallyexpressedgenesincovid19aredrugtargetcandidates
AT alexandrosxenos networkneighborsofviraltargetsanddifferentiallyexpressedgenesincovid19aredrugtargetcandidates
AT renebottcher networkneighborsofviraltargetsanddifferentiallyexpressedgenesincovid19aredrugtargetcandidates
AT noelmaloddognin networkneighborsofviraltargetsanddifferentiallyexpressedgenesincovid19aredrugtargetcandidates
AT natasaprzulj networkneighborsofviraltargetsanddifferentiallyexpressedgenesincovid19aredrugtargetcandidates
_version_ 1718377609842130944