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Samuel William Canner

As seen in: BioRxiv
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Articles

Predictions from Deep Learning Propose Substantial Protein-Carbohydrate Interplay

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By Samuel William Canner, Ronald L Schnaar, Jeffrey J. Gray, Johns Hopkins
| BioRxiv
Abstract It is a grand challenge to identify all the protein-carbohydrate interactions in an organism. Direct experiments would require extensive libraries of glycans to definitively distinguish binding from non-binding proteins. Computational screening of proteins for carbohydrate-binding provides an attractive and ultimately testable alternative.
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The Proteome as a Lectome: Predictions from Deep Learning Propose Substantial Protein-Carbohydrate Interplay

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By Samuel William Canner, Ronald L Schnaar, Jeffrey J. Gray, Johns Hopkins
| BioRxiv
Abstract It is a grand challenge to identify all the protein-carbohydrate interactions in an organism. Direct experiments would require extensive libraries of glycans to definitively distinguish binding from non-binding proteins. Computational screening of proteins for carbohydrate-binding provides an attractive and ultimately testable alternative.
Open in Who Shared Issue with article?

Structure-Based Neural Network Protein-Carbohydrate Interaction Predictions at the Residue Level

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By Jeffrey J. Gray, Johns Hopkins, Samuel William Canner, Sudhanshu Shanker
| BioRxiv
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