ArticleOmics : a journal of integrative biology2012
Automated motif discovery from glycan array data.
Article in Omics : a journal of integrative biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 56 citations in OpenAlex.
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- A Useful Guide to Lectin Binding: Machine-Learning Directed Annotation of 57 Unique Lectin Specificities.ACS chemical biology · 2022Article
- CarboGrove: a resource of glycan-binding specificities through analyzed glycan-array datasets from all platforms.Glycobiology · 2022Article
- GlyNet: a multi-task neural network for predicting protein-glycan interactions.Chemical science · 2022Article
- Combined Analysis of Multiple Glycan-Array Datasets: New Explorations of Protein-Glycan Interactions.Analytical chemistry · 2021Article
- Article
- Big-Data Glycomics: Tools to Connect Glycan Biosynthesis to Extracellular Communication.Trends in biochemical sciences · 2021Review
- 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
- Identifying glycan motifs using a novel subtree mining approach.BMC bioinformatics · 2020Article
- Advances in Tools to Determine the Glycan-Binding Specificities of Lectins and Antibodies.Molecular & cellular proteomics : MCP · 2020Review
- Tools for generating and analyzing glycan microarray data.Beilstein journal of organic chemistry · 2020Review
- Emerging glycobiology tools: A renaissance in accessibility.Cellular immunology · 2018Review
- Glycan Binding Specificity and Mechanism of Human and Porcine P[6]/P[19] Rotavirus VP8*s.Journal of virology · 2018Article
- Human Group C Rotavirus VP8*s Recognize Type A Histo-Blood Group Antigens as Ligands.Journal of virology · 2018Article
- Mining High-Complexity Motifs in Glycans: A New Language To Uncover the Fine Specificities of Lectins and Glycosidases.Analytical chemistry · 2017Article
- The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting glycan microarray-based data.Glycobiology · 2017Article
- Characterizing Protein Glycosylation through On-Chip Glycan Modification and Probing.Analytical chemistry · 2016Article
- Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Assessing interactions of a glycan-binding protein (GBP) or lectin with glycans on a microarray generates large datasets, making it difficult to identify a glycan structural motif or determinant associated with the highest apparent binding strength of the GBP. We have developed a computational method, termed GlycanMotifMiner, that uses the relative binding of a GBP with glycans within a glycan microarray to automatically reveal the glycan structural motifs recognized by a GBP. We implemented the software with a web-based graphical interface for users to explore and visualize the discovered motifs. The utility of GlycanMotifMiner was determined using five plant lectins, SNA, HPA, PNA, Con A, and UEA-I. Data from the analyses of the lectins at different protein concentrations were processed to rank the glycans based on their relative binding strengths. The motifs, defined as glycan substructures that exist in a large number of the bound glycans and few non-bound glycans, were then discovered by our algorithm and displayed in a web-based graphical user interface ( http://glycanmotifminer.emory.edu ). The information is used in defining the glycan-binding specificity of GBPs. The results were compared to the known glycan specificities of these lectins generated by manual methods. A more complex analysis was also carried out using glycan microarray data obtained for a recombinant form of human galectin-8. Results for all of these lectins show that GlycanMotifMiner identified the major motifs known in the literature along with some unexpected novel binding motifs.
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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.