Author

Jiale Liu

Peking UniversityORCID 0000-0001-7841-7728Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Changsheng ZhangiD· 1 shared Hantian YouiD· 1 shared Luhua LaiiD· 1 shared Zheng GuoiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 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 paperBiophysics

Changsheng ZhangORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BiophysicsAngewandte Chemie International EditionPeer-reviewedSep 19, 2024

All-atom protein sequence design based on geometric deep learning

Jiale Liu, Zheng Guo, Hantian You…·Luhua Lai

This paper introduces GeoSeqBuilder, a geometric deep learning framework for protein sequence design that achieves high accuracy in recovering native residues and predicting side-chain conformations.

10 citations

protein sequenceprotein structure

𝕏 PostBluesky