GlycoSiteMiner FAQ: Difference between revisions
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=== What is GlycoSiteMiner? === | === What is GlycoSiteMiner? === | ||
'''GlycoSiteMiner''' is an automated literature-mining pipeline designed to extract experimentally verified, protein sequence–specific glycosylation sites from PubMed abstracts. Using advanced ML/AI algorithms, it filters out false positives and ensures data accuracy. Applied to over 33 million PubMed abstracts, GlycoSiteMiner has uncovered 1,118 new sequence-specific glycosylation sites that were not previously available in the GlyGen resource. | '''GlycoSiteMiner (GSM)''' is an automated literature-mining pipeline designed to extract experimentally verified, protein sequence–specific glycosylation sites from PubMed abstracts. Using advanced ML/AI algorithms, it filters out false positives and ensures data accuracy. Applied to over 33 million PubMed abstracts, GlycoSiteMiner has uncovered 1,118 new sequence-specific glycosylation sites that were not previously available in the GlyGen resource. | ||
=== How to identify glycosylation sites predicted from GSM on GlyGen? === | |||
You can check if a protein has predicted glycosylation sites by visiting its protein details page and selecting the '''Glycosylation''' tab from the left-hand menu. This will take you to the Glycosylation section, where several sub-tabs are available. Predicted site information is located in the '''Text Mining''' tab, which lists all predicted glycosylation sites along with details about the tool used to generate each prediction. | |||
Revision as of 13:34, 22 August 2025
The frequently asked questions are a collection of user questions related to the GlyGen GlycoSiteMiner tool.
What is GlycoSiteMiner?
GlycoSiteMiner (GSM) is an automated literature-mining pipeline designed to extract experimentally verified, protein sequence–specific glycosylation sites from PubMed abstracts. Using advanced ML/AI algorithms, it filters out false positives and ensures data accuracy. Applied to over 33 million PubMed abstracts, GlycoSiteMiner has uncovered 1,118 new sequence-specific glycosylation sites that were not previously available in the GlyGen resource.
How to identify glycosylation sites predicted from GSM on GlyGen?
You can check if a protein has predicted glycosylation sites by visiting its protein details page and selecting the Glycosylation tab from the left-hand menu. This will take you to the Glycosylation section, where several sub-tabs are available. Predicted site information is located in the Text Mining tab, which lists all predicted glycosylation sites along with details about the tool used to generate each prediction.