Articles with "glycopeptide identification" as a keyword



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GlycoSLASH: Concurrent Glycopeptide Identification from Multiple Related LC-MS/MS Data Sets by Using Spectral Clustering and Library Searching.

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Published in 2023 at "Journal of proteome research"

DOI: 10.1021/acs.jproteome.3c00066

Abstract: Liquid chromatography coupled with tandem mass spectrometry is commonly adopted in large-scale glycoproteomic studies involving hundreds of disease and control samples. The software for glycopeptide identification in such data (e.g., the commercial software Byonic) analyzes… read more here.

Keywords: glycopeptide identification; identification multiple; related data; data sets ... See more keywords
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pGlyco 2.0 enables precision N-glycoproteomics with comprehensive quality control and one-step mass spectrometry for intact glycopeptide identification

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Published in 2017 at "Nature Communications"

DOI: 10.1038/s41467-017-00535-2

Abstract: The precise and large-scale identification of intact glycopeptides is a critical step in glycoproteomics. Owing to the complexity of glycosylation, the current overall throughput, data quality and accessibility of intact glycopeptide identification lack behind those… read more here.

Keywords: intact glycopeptide; comprehensive quality; step; identification ... See more keywords

Large-scale intact glycopeptide identification by Mascot database search

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Published in 2018 at "Scientific Reports"

DOI: 10.1038/s41598-018-20331-2

Abstract: Workflows capable of determining glycopeptides in large-scale are missing in the field of glycoproteomics. We present an approach for automated annotation of intact glycopeptide mass spectra. The steps in adopting the Mascot search engine for… read more here.

Keywords: large scale; scale intact; search; intact glycopeptide ... See more keywords
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The GlycoPaSER Prototype as a Real-Time N-Glycopeptide Identification Tool Based on the PaSER Parallel Computing Platform

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Published in 2023 at "International Journal of Molecular Sciences"

DOI: 10.3390/ijms24097869

Abstract: Real-time database searching allows for simpler and automated proteomics workflows as it eliminates technical bottlenecks in high throughput experiments. Most importantly, it enables results dependent acquisition (RDA) where search results can be used to guide… read more here.

Keywords: time; time glycopeptide; glycopeptide identification; real time ... See more keywords