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SimGlycan
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.

SimGlycan software predicts the theoritically possible fragments of a glycan and ranks them.

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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