Author

Yuxian Luo

Shandong University

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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Assay:protein sequence· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Zhenling PengiD· 2 shared Baoquan SuiD· 1 shared Jiahui LiangiD· 1 shared Jianyi YangiD· 1 shared Wenkai WangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

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5 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Zhenling PengORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 15, 2026

Benchmarking MSA pairing for protein-protein complex structure prediction reveals a depth-over-pairing principle

Yuxian Luo, Wenkai Wang, Zhenling Peng, Jianyi Yang

The paper benchmarks MSA pairing strategies for protein-protein complex structure prediction and finds that increased MSA depth, not specific pairing, improves accuracy.

DOI 10.64898/2026.04.14.718427

protein sequencestatistical model

𝕏 PostBluesky

BioinformaticsBriefings in BioinformaticsPeer-reviewedMar 1, 2026

Hybrid Deep Learning with Protein Language Models and Dual-Path Architecture for Predicting IDP Functions

Jiahui Liang, Yuxian Luo, Baoquan Su, Zhenling Peng

IDPFunNet predicts IDR functions using a hybrid deep learning model, outperforming existing methods in binding prediction and DFL identification across multiple benchmarks.

1 citation

protein sequencedeep learning

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