Author

Shu Li

Purdue University West LafayetteORCID 0000-0003-4667-6164Unclaimed ORCID profile · follow to get notified of new preprints

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Shu Li2 papers · University of Shanghai for Science and Technology

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein structure prediction· 2 Assay:CITE-seq· 1 Assay:protein structure· 1

Frequent Co-Authors

Daisuke KiharaiD· 2 shared Yuki KagayaiD· 2 shared Anika JainiD· 1 shared Boyuan LiuiD· 1 shared Farhanaz FarheeniD· 1 shared Genki TerashiiD· 1 shared Han ZhuiD· 1 shared Joon Hong ParkiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Daisuke KiharaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 4, 2026

Direct Detection and Atomic Modeling of Ligands in Cryo-EM Maps Using Deep Learning

Shu Li, Anika Jain, Yuki Kagaya…·Daisuke Kihara

Emap2lig detects ligand densities and builds atomic structures from cryo-EM maps using a two-stage deep learning framework.

DOI 10.64898/2026.06.01.729423

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 16, 2026

Accurate Macromolecular Complex Modeling for Cryo-EM with CryoZeta

Zicong Zhang, Shu Li, Farhanaz Farheen…·Daisuke Kihara

CryoZeta improves cryo-EM structure modeling by integrating density features with sequence data using a diffusion-based deep learning model, achieving higher accuracy than existing methods.

2 citations

CITE-seqdeep learning

𝕏 PostBluesky