About: Multiscale statistical physics of the Human-SARS-CoV-2 interactome

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Multiscale statistical physics of the Human-SARS-CoV-2 interactome
Creator	Artime, Oriol Bontorin, Sebastiano De Domenico, Manlio Ghavasieh, Arsham
source	ArXiv
abstract	Protein-protein interaction (PPI) networks have been used to investigate the influence of SARS-CoV-2 viral proteins on the function of human cells, laying out a deeper understanding of COVID--19 and providing ground for drug repurposing strategies. However, our knowledge of (dis)similarities between this one and other viral agents is still very limited. Here we compare the novel coronavirus PPI network against 45 known viruses, from the perspective of statistical physics. Our results show that classic analysis such as percolation is not sensitive to the distinguishing features of viruses, whereas the analysis of biochemical spreading patterns allows us to meaningfully categorize the viruses and quantitatively compare their impact on human proteins. Remarkably, when Gibbsian-like density matrices are used to represent each system's state, the corresponding macroscopic statistical properties measured by the spectral entropy reveals the existence of clusters of viruses at multiple scales. Overall, our results indicate that SARS-CoV-2 exhibits similarities to viruses like SARS-CoV and Influenza A at small scales, while at larger scales it exhibits more similarities to viruses such as HIV1 and HTLV1.
has issue date	2020-08-21(xsd:dateTime)
has license	arxiv
sha1sum (hex)	884a470bd6c3ae5be0087630eac77d475cb9186a
resource representing a document's title	Multiscale statistical physics of the Human-SARS-CoV-2 interactome
resource representing a document's body	covid:884a470bd6c3ae5be0087630eac77d475cb9186a#body_text
is schema:about of	named entity 'human cells' named entity 'analysis' named entity 'patterns' named entity 'entropy' named entity 'quantitatively' »more»

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