ArticleJournal of biomolecular techniques : JBT2018
Predicting the HILIC Retention Behavior of the N-Linked Glycopeptides Produced by Trypsin Digestion of Immunoglobulin Gs (IgGs).
Article in Journal of biomolecular techniques : JBT, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Prediction of Intact N-Glycopeptide Retention Time Windows in Hydrophilic Interaction Liquid Chromatography.Molecules (Basel, Switzerland) · 2022Article
- An analytical study on the identification of N-linked glycosylation sites using machine learning model.PeerJ. Computer science · 2022Article
- Comparison of human IgG glycopeptides separation using mixed-mode hydrophilic interaction/ion-exchange liquid chromatography and reversed-phase mode.Analytical and bioanalytical chemistry · 2021Article
- Glycine additive facilitates site-specific glycosylation profiling of biopharmaceuticals by ion-pairing hydrophilic interaction chromatography mass spectrometry.Analytical and bioanalytical chemistry · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
The prediction of the retention behavior/time would facilitate the identification and characterization of glycoproteins, particularly the analytical challenges, such as the characterization of low-abundance glycoforms. This task is essential in the biotherapeutics industry, where the type and amount of glycosylation on recombinant IgG alter the efficacy, function, and immunogenicity. Models exist for the prediction of the hydrophilic interaction liquid chromatography retention of peptides and glycans. Here, we have devised a unified model to predict the retention behavior of glycopeptides from human IgGs and applied this to the analysis of glycopeptides from rabbit IgGs. The combined model is capable of accurately predicting the retention of native IgG glycopeptides on 2 completely different liquid chromatography-mass spectrometry systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.