Publication: Glycosylator: a Python framework for the rapid modeling of glycans
Glycosylator: a Python framework for the rapid modeling of glycans
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Lemmin, T., & Soto, C. (2019). Glycosylator: a Python framework for the rapid modeling of glycans. BMC Bioinformatics, 20(1), 513. https://doi.org/10.1186/s12859-019-3097-6
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BACKGROUND
Carbohydrates are a class of large and diverse biomolecules, ranging from a simple monosaccharide to large multi-branching glycan structures. The covalent linkage of a carbohydrate to the nitrogen atom of an asparagine, a process referred to as N-linked glycosylation, plays an important role in the physiology of many living organisms. Most software for glycan modeling on a personal desktop computer requires knowledge of molecular dynamics to interface with specialized programs such as CHARMM or AMBER. There are a number of
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- Lemmin, Thomas
- Soto, Cinque
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Lemmin, T., & Soto, C. (2019). Glycosylator: a Python framework for the rapid modeling of glycans. BMC Bioinformatics, 20(1), 513. https://doi.org/10.1186/s12859-019-3097-6
