ArticleMethods in molecular biology (Clifton, N.J.)2015
Exploring the specificities of glycan-binding proteins using glycan array data and the GlycoSearch software.
Article in Methods in molecular biology (Clifton, N.J.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- GlyNet: a multi-task neural network for predicting protein-glycan interactions.Chemical science · 2022Article
- Article
- Glycomics and glycoproteomics of viruses: Mass spectrometry applications and insights toward structure-function relationships.Mass spectrometry reviews · 2020Review
- GlyMDB: Glycan Microarray Database and analysis toolset.Bioinformatics (Oxford, England) · 2020Article
- Aberrant glycosylation and cancer biomarker discovery: a promising and thorny journey.Clinical chemistry and laboratory medicine · 2019Review
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Authors and funding
5 authors.
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Abstract
The glycan array is a powerful tool for investigating the specificities of glycan-binding proteins. By incubating a glycan-binding protein on a glycan array, the relative binding to hundreds of different oligosaccharides can be quantified in parallel. Based on these data, much information can be obtained about the preference of a glycan-binding protein for specific subcomponents of oligosaccharides or motifs. In many cases, the analysis and interpretation of glycan array data can be time consuming and imprecise if done manually. Recently we developed software, called GlycoSearch, to facilitate the analysis and interpretation of glycan array data based on the previously developed methods called Motif Segregation and Outlier Motif Analysis. Here we describe the principles behind the software, the use of the software, and an example application. The automated, objective, and precise analysis of glycan array data should enhance the value of the data for a broad range of research applications.
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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.