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bioRxiv · 10.1101/2020.01.10.902114

Using Natural Language Processing to Learn the Grammar of Glycans

Bojar, D.·Camacho, D. M.·Collins, J. J.
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Abstract

While nucleic acids and proteins receive ample attention, progress on understanding the structural and functional roles of carbohydrates has lagged behind. Here, we develop a language model for glycans, SweetTalk, taking into account glycan connectivity and composition. We use this model to investigate motifs in glycan substructures, classify them according to their O-/N-linkage, and predict their immunogenicity with an accuracy of [~]92%, opening up the potential for rational glycoengineering.

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Bojar, D., Camacho, D. M., Collins, J. J.. 2020-01-11. Using Natural Language Processing to Learn the Grammar of Glycans. https://doi.org/10.1101/2020.01.10.902114

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