ArticleAnalytical chemistry2017
Mining High-Complexity Motifs in Glycans: A New Language To Uncover the Fine Specificities of Lectins and Glycosidases.
Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 40 citations in OpenAlex.
- Atom-level machine learning of protein-glycan interactions and cross-chiral recognition in glycobiology.Science advances · 2025Article
- Identification of SARS-CoV-2-binding lectins on a commercial lectin array.Scientific reports · 2025Article
- Article
- The energetic landscape of CH-π interactions in protein-carbohydrate binding.Chemical science · 2025Article
- Glycosaminoglycan microarrays for studying glycosaminoglycan-protein systems.Carbohydrate polymers · 2024Review
- Structure and function of microbial α-l-fucosidases: a mini review.Essays in biochemistry · 2023Review
- New carbohydrate binding domains identified by phage display based functional metagenomic screens of human gut microbiota.Communications biology · 2023Article
- VT68.2: An Antibody to Chondroitin Sulfate Proteoglycan 4 (CSPG4) Displays Reactivity against a Tumor-Associated Carbohydrate Antigen.International journal of molecular sciences · 2023Article
- Article
- Development and applications of sialoglycan-recognizing probes (SGRPs) with defined specificities: exploring the dynamic mammalian sialoglycome.Glycobiology · 2022Article
- A Useful Guide to Lectin Binding: Machine-Learning Directed Annotation of 57 Unique Lectin Specificities.ACS chemical biology · 2022Article
- Immobilization of Biantennary N-Glycans Leads to Branch Specific Epitope Recognition by LSECtin.ACS central science · 2022Article
- CarboGrove: a resource of glycan-binding specificities through analyzed glycan-array datasets from all platforms.Glycobiology · 2022Article
- Systematic synthesis of bisectedChemical science · 2022Article
- GlyNet: a multi-task neural network for predicting protein-glycan interactions.Chemical science · 2022Article
- An Interactive View of Glycosylation.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Combined Analysis of Multiple Glycan-Array Datasets: New Explorations of Protein-Glycan Interactions.Analytical chemistry · 2021Article
- Big-Data Glycomics: Tools to Connect Glycan Biosynthesis to Extracellular Communication.Trends in biochemical sciences · 2021Review
- Goat Milk Oligosaccharides: Their Diversity, Quantity, and Functional Properties in Comparison to Human Milk Oligosaccharides.Journal of agricultural and food chemistry · 2020Review
- Microarray analyses of closely related glycoforms reveal different accessibilities of glycan determinants on N-glycan branches.Glycobiology · 2020Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Knowledge of lectin and glycosidase specificities is fundamental to the study of glycobiology. The primary specificities of such molecules can be uncovered using well-established tools, but the complex details of their specificities are difficult to determine and describe. Here we present a language and algorithm for the analysis and description of glycan motifs with high complexity. The language uses human-readable notation and wildcards, modifiers, and logical operators to define motifs of nearly any complexity. By applying the syntax to the analysis of glycan-array data, we found that the lectin AAL had higher binding where fucose groups are displayed on separate branches. The lectin SNA showed gradations in binding based on the length of the extension displaying sialic acid and on characteristics of the opposing branches. A new algorithm to evaluate changes in lectin binding upon treatment with exoglycosidases identified the primary specificities and potential fine specificities of an α1-2-fucosidase and an α2-3,6,8-neuraminidase. The fucosidase had significantly lower action where sialic acid neighbors the fucose, and the neuraminidase showed statistically lower action where α1-2 fucose neighbors the sialic acid or is on the opposing branch. The complex features identified here would have been inaccessible to analysis using previous methods. The new language and algorithms promise to facilitate the precise determination and description of lectin and glycosidase specificities.
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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.