Author

Ke Zhai

Queen Mary University of London

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· 2

Signature Assays, Organisms & Methods

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Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Grant H. Watson· 1 shared Haobo Wang· 1 shared Jiawei Guan· 1 shared Juexi Shao· 1 shared Massimo PoesioiD· 1 shared Rui MaiD· 1 shared Siyou Li· 1 shared Wei QuiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Grant H. Watson

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2 papers

Recent·Most cited

DNA-LLM2Vec: Architecture-Aware Task-Conditioned Adaptation of Decoder DNA Foundation Models

Yuan Liang, Ke Zhai, Yujian Gan, Siyou Li, Juexi Shao, Grant H. Watson, Massimo Poesio

DNA-LLM2Vec adapts decoder DNA models to bidirectional context for genomic tasks, improving performance on extended-context tasks but varying by task and backbone.

bioRxiv · Oct 14, 2026 · PreprintBioinformatics

P(all-atom) Is Unlocking New Path For Protein Design

Wei Qu, Jiawei Guan, Rui Ma, Ke Zhai, Weikun Wu, Haobo Wang

Pallatom generates protein structures with all-atom coordinates, improving designability, diversity, and novelty in protein design.

bioRxiv · Aug 16, 2024 · PreprintBioinformatics