Author

Sheng‐Kai Wang

National Tsing Hua UniversityORCID 0000-0002-3827-7983Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:proteomics· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Chuanhao PengiD· 2 shared Eric J CarpenteriD· 2 shared Lara K. MahaliD· 2 shared Nicholas M. Twells· 2 shared Ratmir DerdaiD· 2 shared Simatsidk HareguiD· 2 shared Alexxandra Sosa-GuiriD· 1 shared Amika SoodiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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2 shared papersBiochemistry

Chuanhao PengORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

An On-Demand Nanodisc Platform for Reconstitution of Functional Membrane Proteins into Model and Living Membranes

Long-Kai Chen, Yun-Shan Wang, Wei‐Hsuan Chang, Che-Kai Lin, Pei-Tzu Huang, Ming-Chang Yu, Wenxin Liu, Tzu-Ting Huang, Chien-Yu Ko, Ru-Hsuan Bai, Sheng‐Kai Wang, Yun-Wei Chiang, Chun‐Wei Lin

This paper develops a nanodisc platform for rapidly reconstituting functional membrane proteins into model and living membranes, demonstrating its effectiveness with calcium channels and GPCRs.

bioRxiv · Aug 19, 2026 · PreprintBiochemistry

Biological recognition of mirror-image glycans

Chuanhao Peng, Simatsidk Haregu, Claire Yi-Ling Yang, Shreyas Gupta, Michael Evjen, Hani Choksi, Vanessa Affe, Eric J Carpenter, Nicholas M. Twells, Mei-Ting Lin, Ayodeji Kulepa, Carolina Ortiz‐Cordero, Alexxandra Sosa-Guir, Jonathan Lefèbre, Szu Yun Wang, , Ratmir Derda

The paper evaluates how glycan-binding proteins and immune cells recognize mirror-image glycans, finding widespread binding and donor-specific recognition of L-glycans.

bioRxiv · Jul 20, 2026 · PreprintBiochemistry

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