https://w3id.org/np/RA36ReGfg8_IrkrMd2df9S-Je0cLuC7AXI1p-gMpevNvo
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dct:description "<span><p>Motivation: We have previously designed and implemented a tree-based ontology to represent glycan structures with the aim of searching these structures with a glyco-driven syntax. This resulted in creating the GlySTreeM knowledge-base as a linchpin of the structural matching procedure and we now introduce a query language, called GlycoQL, for the actual implementation of a glycan structure search.</p><p>Results: The methodology is described and illustrated with a use-case focused on Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) spike protein glycosylation. We show how to enhance site annotation with federated queries involving UniProt and GlyConnect, our glycoprotein database.</p><p>Availability and implementation: https://glyconnect.expasy.org/glycoql/</p></span>";
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rdfs:label "Glycan-protein interaction motifs: A semantic based annotation method";
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