By calculating the centrality measures of the nodes of the SARS-CoV-2 protein interactome network, we have identified the viral proteins of potential greatest interest for further experimental investigation to understand the mechanisms by which SARS-CoV-2 attacks cells and to identify possible therapeutic targets. The proteins identified in this study including NSP13, NSP7, ORF3a, ORF8a, and ORF8b, were found to be involved in crucial processes of the viral life cycle, and some of them are currently suspected to be antiviral targets. These results thus demonstrate the importance - and the predictive power- of the in silico analysis of the viral interactome to guide and support experimental investigation, which could otherwise be too complex and time-consuming to carry out in clinical and experimental research, given the size and interaction density of the viral protein network and the current still partial knowledge of this new virus.

Analysis of SARS-CoV-2 protein interactome map / Lecca, P.; Carpentieri, B.; Labini, P. S.; Vella, F.; Troiani, E.; Cavezzi, A.. - ELETTRONICO. - (2021), pp. 2429-2436. (Intervento presentato al convegno 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 tenutosi a Houston, TX, USA nel 09-12 December, 2021) [10.1109/BIBM52615.2021.9669641].

Analysis of SARS-CoV-2 protein interactome map

Vella F.;
2021-01-01

Abstract

By calculating the centrality measures of the nodes of the SARS-CoV-2 protein interactome network, we have identified the viral proteins of potential greatest interest for further experimental investigation to understand the mechanisms by which SARS-CoV-2 attacks cells and to identify possible therapeutic targets. The proteins identified in this study including NSP13, NSP7, ORF3a, ORF8a, and ORF8b, were found to be involved in crucial processes of the viral life cycle, and some of them are currently suspected to be antiviral targets. These results thus demonstrate the importance - and the predictive power- of the in silico analysis of the viral interactome to guide and support experimental investigation, which could otherwise be too complex and time-consuming to carry out in clinical and experimental research, given the size and interaction density of the viral protein network and the current still partial knowledge of this new virus.
2021
Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
Piscataway, NJ USA
Institute of Electrical and Electronics Engineers Inc.
978-1-6654-0126-5
Lecca, P.; Carpentieri, B.; Labini, P. S.; Vella, F.; Troiani, E.; Cavezzi, A.
Analysis of SARS-CoV-2 protein interactome map / Lecca, P.; Carpentieri, B.; Labini, P. S.; Vella, F.; Troiani, E.; Cavezzi, A.. - ELETTRONICO. - (2021), pp. 2429-2436. (Intervento presentato al convegno 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 tenutosi a Houston, TX, USA nel 09-12 December, 2021) [10.1109/BIBM52615.2021.9669641].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/334232
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