Author

Hongxia Cai

University of Electronic Science and Technology of ChinaORCID 0000-0002-1063-7756Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Organism:C. elegans· 2 Approach:statistical model· 2 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Yiwen Gong· 3 shared Guojun LiiD· 2 shared Junyu Ning· 2 shared Ruofei Li· 2 shared Yan PaniD· 2 shared Yutong LiiD· 2 shared Anastasia Ngozi Ezemaduka· 1 shared Bo XianiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBioinformatics

Yiwen Gong

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 15, 2026

Discovery of Selective Nrf2 Activators from Natural Products: AComputational Screening Approach to Minimize Off-Target Effects on PXR and CYP2D6

Yue Wang, Yiwen Gong, Ruofei Li…·Haomiao Ma

This paper identifies 10 ultraselective Nrf2 activators from natural products using computational screening to minimize off-target effects on PXR and CYP2D6.

DOI 10.64898/2026.04.12.718057

statistical modeldrug response / drug discovery

BioinformaticsbioRxivPreprintOct 4, 2025

De Novo Design of Anti-Aging Peptides

Yan Pan, Fan Li, Nan Zhang…·Bo Xian

This paper introduces ElixirSeeker2, a computational framework for de novo design of anti-aging peptides, which identifies novel candidates effective in delaying cellular senescence and improving locomotor activity in aged C. elegans.

DOI 10.1101/2025.10.04.680435

C. elegansproteomics

Systems BiologybioRxivPreprintSep 8, 2024

ElixirSeeker: A Machine Learning Framework Utilizing Attention-Driven Fusion of Molecular Fingerprints for the Discovery of Anti-Aging Compounds

Yan Pan, Hongxia Cai, Fang Ye…·Bo Xian

ElixirSeeker uses attention-driven fusion of molecular fingerprints to identify anti-aging compounds, finding four that extend C. elegans lifespan.

1 citation

C. elegansmachine learning (classical)