id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-104035-ykyr2gvl	Ivanov, Mark V.	Boosting the MS1-only proteomics with machine learning allows 2000 protein identifications in 5-minute proteome analysis	2020-10-29		.txt	text/plain	1844	115	43	A number of methods and approaches to MS/MS-free proteome analysis have been proposed and widely explored starting from the early Accurate Mass and Tag (Time) method [21] [22] [23] [24] [25] to a recent truly (e.g., without employing tandem mass spectrometry at any step in the workflow) MS/MS-free realizations 26, 27 . 27 Because the method does not employ isolation and fragmentation steps, the time for peptide separation can be reduced significantly to few minutes and the number of MS1 spectra available for processing will only be limited by the acquisition rate of the mass analyzer operating at high mass resolution. Also, the method was upgraded and tested for processing MS1-only data obtained using high resolution mass spectrometry and the high-field asymmetric waveform ion mobility, FAIMS 35 , which was found increasingly applicable in proteomic research 36, 37 as it provides additional separation dimension for peptides at the front end of a mass spectrometer.	./cache/cord-104035-ykyr2gvl.txt	./txt/cord-104035-ykyr2gvl.txt