Alignment of virus-host protein-protein interaction networks by integer linear programming: SARS-CoV-2

Motivation: Beside socio-economic issues, coronavirus pandemic COVID-19, the infectious disease caused by the newly discovered coronavirus SARS-CoV-2, has caused a deep impact in the scientific community, that has considerably increased its effort to discover the infection strategies of the new viru...

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Detalhes bibliográficos
Autores: Llabrés Segura, Mercè, Valiente Feruglio, Gabriel Alejandro|||0000-0001-9194-2703
Formato: artículo
Fecha de publicación:2020
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/340926
Acesso em linha:https://hdl.handle.net/2117/340926
https://dx.doi.org/10.1371/journal.pone.0236304
Access Level:acceso abierto
Palavra-chave:COVID-19 (Disease)
Protein-protein interactions -- Mathematical models
Coronavirus Infections
Host Microbial Interactions
Theoretical models
Linear Programming
COVID-19 (Malaltia)
Interaccions proteïna-proteïna -- Models matemàtics
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
Descrição
Resumo:Motivation: Beside socio-economic issues, coronavirus pandemic COVID-19, the infectious disease caused by the newly discovered coronavirus SARS-CoV-2, has caused a deep impact in the scientific community, that has considerably increased its effort to discover the infection strategies of the new virus. Among the extensive and crucial research that has been carried out in the last months, the analysis of the virus-host relationship plays an important role in drug discovery. Virus-host protein-protein interactions are the active agents in virus replication, and the analysis of virus-host protein-protein interaction networks is fundamental to the study of the virus-host relationship. Results: We have adapted and implemented a recent integer linear programming model for protein-protein interaction network alignment to virus-host networks, and obtained a consensus alignment of the SARS-CoV-1 and SARS-CoV-2 virus-host protein-protein interaction networks. Despite the lack of shared human proteins in these virus-host networks, and the low number of preserved virus-host interactions, the consensus alignment revealed aligned human proteins that share a function related to viral infection, as well as human proteins of high functional similarity that interact with SARS-CoV-1 and SARS-CoV-2 proteins, whose alignment would preserve these virus-host interactions.