| SimGlycan |
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| Accurate Glycan Structure Prediction |
SimGlycan predicts the structure of a glycan from the MS/MS
data acquired by mass spectrometry, facilitating the study of glycosylation and post
translational modifications studies. SimGlycan accepts
the experimental MS profiles generated by a mass spectrometer,
matches them with its own database of theoretical fragmentation
of over 8,000 glycans and generates a list of probable glycan
structures. Each structure is scored to reflect how closely
it matches your experimental data. Other biological information
for the probable glycan structures such as the glycan class,
reaction, pathway and enzyme are also made available for easy
reference.
Glycan Mass Spectrometry Identification Tool
SimGlycan is an innovative MS/MS data analysis tool.
SimGlycan predicts the glycan structure, scores it and generates
a list of probable glycans that closely match the your experimental
MS profile saving you the time and the frustration of laborious
work.
MS/MS Data Analysis of Glycans for Studying Glycosylation
and Post Translational Modifications
Glycosylation is the result of addition of a glycan to a protein and represents
the most common of all the known protein post-translational
modifications. Carbohydrates have been found to participate
in many biological processes including embryonic development,
inter and intracellular activities, coordination of immune
functions, pathogens homing on their host tissues, cell division
processes and protein regulations and interactions.
For facilitating such studies, SimGlycan predicts the structure
of a glycan from the MS/MS data acquired by mass spectrometry.
It supports MS/MS profiles of both glycopeptides and released glycans. The program supports text, .xls files and standard output file formats like mzData and mzXML to load profiles into the program. SimGlycan accepts the experimental MS profiles generated by
mass spectrometer, matches them with its own theoretical
fragmentation database and generates a list of probable glycan
structures. Each structure is scored based on how closely
it matches your experimental data. Additional known biological
information for the structures such as glycan class, reaction,
pathway and enzyme is displayed, saving you from having to
retrieve it from many sources.
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