Deep Learning Methods Predicts Glycan Structures from Mass Spec Data

Harshini Chakka

The amazing deep learning tool CandyCrunch predicts glycan structures with 90.3% accuracy.

Processing raw LC-MS/MS data in a matter of seconds is revolutionary.

The 500,000 annotated spectra in the instrument established a new benchmark for glycomics research.

The 500,000 annotated spectra in the instrument established a new benchmark for glycomics research.

CandyCrunch provides diagnostic fragment detection and de novo annotation.

The Python process is open-access and has the potential to democratize structural glycomics.