id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-286810-kq2gu5cc	Klein, Joshua A.	Assignment of coronavirus spike protein site-specific glycosylation using GlycReSoft	2020-05-31		.txt	text/plain	2581	145	50	We summarize the principles for glycopeptide data analysis and show use of our GlycReSoft tool to analyze SARS-CoV-2 spike protein site-specific glycosylation. A glycoproteomics database search engine includes functions for (i) search space construction, (ii) mass spectrum pre-processing, (iii) a scoring model that evaluates Glycopeptide LC-MS algorithms p. The search space uses an input protein list to calculate proteolytic peptides with a list of constant and variable modification rules that include glycosylation. The use of a long LC gradient combined with a single HCD collision energy value of 50% maximized the number of glycopeptides that were While the glycopeptide tandem mass spectrum shown in Figure 3 was acquired using stepped collision energy, the S protein tandem MS data were acquired using HCD set at 50%. We show an example of the use of GlycReSoft to assign SARS-CoV-2 S protein glycosylation from a published data set in which we identify sulfated N-glycans not identified in the original manuscript.	./cache/cord-286810-kq2gu5cc.txt	./txt/cord-286810-kq2gu5cc.txt