Author

Shuang Hou

Tongji UniversityORCID 0000-0003-3511-5513Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Yong ZhangiD· 2 shared Cong LiuiD· 1 shared Hexin SheniD· 1 shared Jiaojiao HuiD· 1 shared Zhaowei YuiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

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5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Yong ZhangORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 12, 2026

Taxonomy-aware, disorder-matched benchmarking of phase-separating protein predictors

Shuang Hou, Hexin Shen, Yong Zhang

The paper benchmarks phase-separating protein predictors using a taxonomy-aware, disorder-matched benchmark to reduce biases and improve evaluation.

DOI 10.64898/2026.02.11.705241

protein sequencebenchmark study

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 23, 2023

PSPire: a machine learning predictor for high-performance screening of phase-separating proteins without intrinsically disordered regions

Shuang Hou, Jiaojiao Hu, Zhaowei Yu…·Yong Zhang

PSPire is a machine learning predictor that improves identification of phase-separating proteins without intrinsically disordered regions by incorporating residue and structure-level features.

1 citation

protein sequencemachine learning (classical)

𝕏 PostBluesky