id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-351115-dy81dtnk	Wang, Chen	Identification of evolutionarily stable sites across the SARS-CoV-2 proteome	2020-10-20		.txt	text/plain	6133	310	50	This study addresses both by utilizing evolutionary information from SARS-CoV-2 sequence and structural data to search for actionable functional sites for each protein in the SARS-CoV-2 genome. Here we systematically suggest potential drug target sites for most SARS-CoV-2 proteins based on evolutionary information. This relative ranking re ects the variation entropy of each sequence position within and across the branches of an associated phylogenetic tree, revealing evolutionary pressure points that correspond to functional and structural determinants, and the protein sites at which they often cluster (30) . As in our approach to discover ET drug sites, we combined ET residue ranking information with sequencing data from SARS-CoV-2 isolates to arrive at linear peptides along the proteome that are evolutionarily important and also show little variation in the current outbreak ( Figure S6 , Dataset S5). The data include, for example, multiple sequence alignments, precalculated ET ranks, and predicted epitopes (both linear and structural) for all SARS-CoV-2 proteins.	./cache/cord-351115-dy81dtnk.txt	./txt/cord-351115-dy81dtnk.txt