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Email

fuyi.li@unimelb.edu.au

Credentials


Position
Honorary (Fellow)
Department of Microbiology and Immunology
Education
Doctorate
Monash University
ORCID

0000-0001-5216-3213

Dr Fuyi Li

Honorary (Fellow)
Department of Microbiology and Immunology

103 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    pH-Sensitive Metal–Organic Frameworks for the Improved Inhibition of HepG2 Cell via Folate Receptor-Mediated Targeting and Cascaded CDT Effect
    DOI: 10.1002/adhm.202504093
  • 2026

    Journal article

    A unified framework for multiomics deconvolution
    DOI: 10.1038/s41592-026-03008-x
  • 2026

    Journal article

    Development of levulinic Acid/L-Proline DES-functionalized Fe3O4 nanoparticles for high-performance extraction of flavonoids from Scutellaria Radix
    DOI: 10.1016/j.lwt.2026.119176
  • 2026

    Journal article

    Drug screening for α-synuclein aggregation inhibitors via multimodal graph neural network
    DOI: 10.1093/bib/bbag118
  • 2026

    Journal article

    LncTracker: A Unified Multi-Channel Framework for Multi-Label lncRNA Localization
    DOI: 10.1109/JBHI.2025.3597589
  • 2025

    Journal article

    A scalable equivariant graph network framework for precise protein function prediction
    DOI: 10.1186/s13059-025-03886-y
  • 2021

    Journal article

    Porpoise: a new approach for accurate prediction of RNA pseudouridine sites
    DOI: 10.1093/bib/bbab245
Fuyi Li

RECENT SCHOLARLY WORKS

  • 2025

    Journal article

    Accurate PROTAC-targeted degradation prediction with DegradeMaster
    DOI: 10.1093/bioinformatics/btaf191
  • 2025

    Journal article

    Kinase-inhibitor binding affinity prediction with pretrained graph encoder and language model
    DOI: 10.1093/bib/bbaf338
  • 2025

    Journal article

    Preparation of immobilized xanthine oxidase with magnetic metal-organic framework and its application in screening of active ingredients in traditional Chinese medicine.
    DOI: 10.1007/s00604-025-07167-0
  • 2025

    Conference Proceedings

    A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection
    DOI: 10.1609/aaai.v39i12.33356

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