id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-218639-ewkche9r	Ghavasieh, Arsham	Multiscale statistical physics of the Human-SARS-CoV-2 interactome	2020-08-21		.txt	text/plain	3175	184	48	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. Similarly, they have been used for characterizing the interactions between viral and human proteins in case of SARS-CoV-2 [13] [14] [15] , providing insights into the structure and function of the virus 16 and identifying drug repurposing strategies 17, 18 . Instead, we model the propagation of perturbations from viral nodes through the whole system, using bio-chemical and regulatory dynamics, to obtain the spreading patterns and compare the average impact of viruses on human proteins. Our results shed light on the unexplored aspects of SARS-CoV-2, from the perspective of statistical physics of complex networks, and the presented framework opens the doors for further theoretical developments aiming to characterize structure and dynamics of virus-host interactions, as well as grounds for further experimental investigation and potentially novel clinical treatments.	./cache/cord-218639-ewkche9r.txt	./txt/cord-218639-ewkche9r.txt