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Interactome of SARS-CoV-2 / nCoV19 modulated host proteins with computationally predicted PPIs

World over, people are looking for solutions to tackle the pandemic coronavirus disease (COVID-19) caused by the virus SARS-CoV-2/nCoV-19. Notable contributions in biomedical field have been characterizing viral genomes, host transcriptomes and proteomes, repurposable drugs and vaccines. In one such...

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Autores principales: Karunakaran, Kalyani B., Balakrishnan, N., Ganapathiraju, Madhavi K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336710/
https://www.ncbi.nlm.nih.gov/pubmed/32702714
http://dx.doi.org/10.21203/rs.3.rs-28592/v1
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author Karunakaran, Kalyani B.
Balakrishnan, N.
Ganapathiraju, Madhavi K.
author_facet Karunakaran, Kalyani B.
Balakrishnan, N.
Ganapathiraju, Madhavi K.
author_sort Karunakaran, Kalyani B.
collection PubMed
description World over, people are looking for solutions to tackle the pandemic coronavirus disease (COVID-19) caused by the virus SARS-CoV-2/nCoV-19. Notable contributions in biomedical field have been characterizing viral genomes, host transcriptomes and proteomes, repurposable drugs and vaccines. In one such study, 332 human proteins targeted by nCoV19 were identified. We expanded this set of host proteins by constructing their protein interactome, including in it not only the known protein-protein interactions (PPIs) but also novel, hitherto unknown PPIs predicted with our High-precision Protein-Protein Interaction Prediction (HiPPIP) model that was shown to be highly accurate. In fact, one of the earliest discoveries made possible by HiPPIP is related to activation of immunity upon viral infection. We found that several interactors of the host proteins are differentially expressed upon viral infection, are related to highly relevant pathways, and that the novel interaction of NUP98 with CHMP5 may activate an antiviral mechanism leading to disruption of viral budding. We are making the interactions available as downloadable files to facilitate future systems biology studies and also on a web-server at http://hagrid.dbmi.pitt.edu/corona that allows not only keyword search but also queries such as “PPIs where one protein is associated with ‘virus’ and the interactors with ‘pulmonary’”.
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spelling pubmed-73367102020-07-14 Interactome of SARS-CoV-2 / nCoV19 modulated host proteins with computationally predicted PPIs Karunakaran, Kalyani B. Balakrishnan, N. Ganapathiraju, Madhavi K. Res Sq Article World over, people are looking for solutions to tackle the pandemic coronavirus disease (COVID-19) caused by the virus SARS-CoV-2/nCoV-19. Notable contributions in biomedical field have been characterizing viral genomes, host transcriptomes and proteomes, repurposable drugs and vaccines. In one such study, 332 human proteins targeted by nCoV19 were identified. We expanded this set of host proteins by constructing their protein interactome, including in it not only the known protein-protein interactions (PPIs) but also novel, hitherto unknown PPIs predicted with our High-precision Protein-Protein Interaction Prediction (HiPPIP) model that was shown to be highly accurate. In fact, one of the earliest discoveries made possible by HiPPIP is related to activation of immunity upon viral infection. We found that several interactors of the host proteins are differentially expressed upon viral infection, are related to highly relevant pathways, and that the novel interaction of NUP98 with CHMP5 may activate an antiviral mechanism leading to disruption of viral budding. We are making the interactions available as downloadable files to facilitate future systems biology studies and also on a web-server at http://hagrid.dbmi.pitt.edu/corona that allows not only keyword search but also queries such as “PPIs where one protein is associated with ‘virus’ and the interactors with ‘pulmonary’”. American Journal Experts 2020-05-13 /pmc/articles/PMC7336710/ /pubmed/32702714 http://dx.doi.org/10.21203/rs.3.rs-28592/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Karunakaran, Kalyani B.
Balakrishnan, N.
Ganapathiraju, Madhavi K.
Interactome of SARS-CoV-2 / nCoV19 modulated host proteins with computationally predicted PPIs
title Interactome of SARS-CoV-2 / nCoV19 modulated host proteins with computationally predicted PPIs
title_full Interactome of SARS-CoV-2 / nCoV19 modulated host proteins with computationally predicted PPIs
title_fullStr Interactome of SARS-CoV-2 / nCoV19 modulated host proteins with computationally predicted PPIs
title_full_unstemmed Interactome of SARS-CoV-2 / nCoV19 modulated host proteins with computationally predicted PPIs
title_short Interactome of SARS-CoV-2 / nCoV19 modulated host proteins with computationally predicted PPIs
title_sort interactome of sars-cov-2 / ncov19 modulated host proteins with computationally predicted ppis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336710/
https://www.ncbi.nlm.nih.gov/pubmed/32702714
http://dx.doi.org/10.21203/rs.3.rs-28592/v1
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