Author

Logan Woudstra

University of Alberta

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biochemistry· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Assay:metagenomics· 1 Organism:multiple species· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Amika SoodiD· 1 shared Chuanhao PengiD· 1 shared Eric J CarpenteriD· 1 shared Jonathan CartmelliD· 1 shared Lara K. MahaliD· 1 shared Nicholas M. Twells· 1 shared Ratmir DerdaiD· 1 shared Robert J. WoodsiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBiochemistry

Amika SoodORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Atom-level Machine Learning of Protein-glycan Interactions and Cross-chiral Recognition in Glycobiology

Eric J Carpenter, Chuanhao Peng, Simatsidk Haregu, Nicholas M. Twells, Logan Woudstra, Amika Sood, Jonathan Cartmell, Robert J. Woods, Lara K. Mahal, Sheng‐Kai Wang, Russell Greiner, Ratmir Derda

This paper develops MCNet, a machine learning model that predicts protein-glycan binding strength using atom-level representations, enabling cross-chiral recognition and unifying diverse glycobiology datasets.

Science Advances · Dec 5, 2025Peer-reviewedBiochemistry