Author

Zhenghong Zhou

Shanghai Jiao Tong UniversityORCID 0000-0001-7753-4236Unclaimed 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· 2 Assay:protein sequence· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Dong‐Qing WeiiD· 2 shared Junwei CheniD· 2 shared Yi XiongiD· 2 shared Heqi SuniD· 1 shared Hong‐Zhou TaniD· 1 shared Liang HongiD· 1 shared S L LiniD· 1 shared Shenggeng LiniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 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

2 shared papersBioinformatics

Dong‐Qing WeiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 11, 2025

ProStab: Prediction of protein stability change upon mutations by protein language and inverse folding models

Hong‐Zhou Tan, Xiaowei Wei, Shenggeng Lin…·Yi Xiong

ProStab predicts protein stability changes upon mutations using a deep learning framework combining sequence and structure information, showing strong performance and experimental validation.

4 citations

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsIEEE Journal of Biomedical and Health InformaticsPeer-reviewedFeb 10, 2025

GRATCR: epitope-specific T cell receptor sequence generation with data-efficient pre-trained models

Zhenghong Zhou, Junwei Chen, S L Lin…·Yi Xiong

GRATCR generates epitope-specific TCR sequences with fewer training data than state-of-the-art models, showing higher specificity and biological functionality.

22 citationstop 2%

proteomicsdeep learning

𝕏 PostBluesky