id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-292050-x3isowrt	Ackerman, Emily E.	Network Controllability-Based Prioritization of Candidates for SARS-CoV-2 Drug Repositioning	2020-09-26		.txt	text/plain	6948	384	44	Based on network topology and controllability, 16 proteins involved in translation, cellular transport, cellular stress, and host immune response are predicted as regulators of the SARS-CoV-2 infected cell. Screenings of experimentally verified SARS-CoV-2 interacting host proteins [7] have elucidated key infection mechanisms which, when compared to drug databases, have predicted a range of possible targets for repurposing. To assess whether the robust controllability classifications of the driver and virus interacting proteins are a result of the network's connectivity structure, a randomization analysis was performed as developed in previous work [11] . The eight critical virus interacting proteins of the HIN become intermittent in the VIN, losing some control over infected network regulation. The eight critical virus interacting proteins of the HIN become intermittent in the VIN, losing some control over infected network regulation.	./cache/cord-292050-x3isowrt.txt	./txt/cord-292050-x3isowrt.txt