Author

Zechen Chang

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

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:metagenomics· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Aashish SatyajithiD· 1 shared Eric J CarpenteriD· 1 shared Haoyan YiniD· 1 shared Ratmir DerdaiD· 1 shared Russell GreineriD· 1 shared Simatsidk HareguiD· 1 shared W ZhouiD· 1 shared Weibo LiuiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Aashish SatyajithORCID

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1 paper

Recent·Most cited

Development of Deep-Learning Models that Predict Quantitative Protein-Ligand Interactions in Glycobiology as a part of a Capstone Course

Haoyan Yin, Weibo Liu, W Zhou, Zechen Chang, Eric J Carpenter, Aashish Satyajith, Simatsidk Haregu, Russell Greiner, Ratmir Derda

The paper develops deep-learning models to predict glycan-protein binding strengths using hybrid datasets and tail-aware losses, finding that glycan interactions are harder than small-molecule interactions due to chiral feature limitations.

bioRxiv · Jun 26, 2026 · PreprintBioinformatics