Author

Simiao Zhao

John Radcliffe HospitalORCID 0000-0002-4916-9152Unclaimed ORCID profile · follow to get notified of new preprints

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Simiao Zhao1 paper · Eonark

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Aidong YangiD· 1 shared Bowen ZhangiD· 1 shared Christopher YauiD· 1 shared Claus NerloviD· 1 shared Melinda Czéh-Bhardwaj· 1 shared Niels Asger JakobseniD· 1 shared Píetro LióiD· 1 shared Sizhe QiuiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperSystems Biology

Aidong YangORCID

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2 papers

Recent·Most cited

Deep learning enables cross-species annotation and attribution of ageing states in haematopoietic stem and immune cells

Simiao Zhao, Bowen Zhang, Melinda Czéh-Bhardwaj, Xuehao Zhai, Niels Asger Jakobsen, Christopher Yau, Píetro Lió, Claus Nerlov

The paper develops a cross-species deep learning framework to annotate and attribute ageing states in haematopoietic stem and immune cells, achieving high AUROC scores in human data.

bioRxiv · Jul 26, 2026 · PreprintBioinformatics

DLTKcat: deep learning based prediction of temperature dependent enzyme turnover rates

Sizhe Qiu, Simiao Zhao, Aidong Yang

DLTKcat predicts temperature-dependent enzyme turnover rates (kcat) using deep learning, achieving better performance than prior models.

Briefings in Bioinformatics · Nov 22, 2023Peer-reviewedSystems Biology