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  • 2026 Nature Communications
    Activity-cliff awareness enables robust graph learning for molecular property prediction
    Cui C.; Shi X. C.; Su X.; Zhang Z.; Arce A. V.; Wang J.; Zhang Y.; Wu J.; Chen Y. Z.*; Zitnik M.*; and Shen W.*
    Nature Communications, 17, 9376, 2026
    Figure 1 · Activity-cliff-aware graph learning
  • 2026 Nature Medicine
    Generalizable AI predicts immunotherapy outcomes across cancers and treatments
    Shen W.; Moon I.; Nguyen T. H.; Li M. M.; Huang Y.; Nair N.; Marbach D.*; and Zitnik M.*
    Nature Medicine, 32, 3010–3022, 2026
    Figure 1a–c · COMPASS: biological concepts, pretraining and treatment prediction
  • 2026 ChemRxiv Preprint (June 2026)
    MusicMol: Bidirectional Molecule–Music Translation via Neighborhood-Aligned Generation and Transformer Decoding
    Tang J.; Zhu Z.; Cui C.; Ke N.; Song C.; Li Y.; Zhou Y.; Yu C.; Jing P.; Zhu C.; Yang Z.; Shen W.*
    ChemRxiv (Preprint), 2026
    MusicMol framework: bidirectional molecule-to-music generation and music-to-molecule decoding
  • 2026 ChemRxiv Preprint (March 2026)
    Bridging Molecular Fingerprints and Graph Neural Networks through Knowledge-Guided Pooling (FPPool)
    Cui C.; Feng S.; Song C.; Yu S.; Lu S.; Chen Y. Z.*; Shen W.*
    ChemRxiv (Preprint), 2026
    FPPool framework: fingerprint matching and hierarchical molecular graph pooling
  • 2026 bioRxiv
    Medea: An Omics AI Agent for Therapeutic Discovery
    Sui P.; Li M. M.; Gao S.; Shen W.; Giunchiglia V.; Shen A.; Huang Y.; Kong Z.; Zitnik M.*
    bioRxiv, 2026
    Medea · Research planning, analysis and literature reasoning
  • 2026 Journal of Chemical Information and Modeling
    TradePool: A Novel Interpretable Framework for Quantifying Atomic Attribution Values in Molecular Property Prediction
    Ni B, Shen W., Ye Z*
    Journal of Chemical Information and Modeling, 2026
    TradePool workflow: subgraph pooling and atomic attribution mapping
  • 2024 Nature Machine Intelligence
    Efficient Generation of Protein Pockets with PocketGen
    Zhang Z.; Shen W.; Liu Q.*; Zitnik M.*
    Nature Machine Intelligence, 6(11), 1382–1395, 2024
    Figure 1 · Protein pocket generation with PocketGen
  • 2024 PNAS Nexus
    Raman Spectroscopic Deep Learning with Signal Aggregated Representations for Enhanced Cell Phenotype and Signature Identification
    Lu S.; Huang Y.; Shen W.; Cao Y. L.; Cai M.; Chen Y.; Tan Y.; Jiang Y. Y.*; Chen Y. Z.*
    PNAS Nexus, 3(8), pgae268, 2024
    Raman spectra · Signal aggregation and structured representations
  • 2024 Nature Biomedical Engineering
    Bidirectional Linkage of DNA Barcodes for the Multiplexed Mapping of Higher-Order Protein Interactions in Cells
    Liu Y.*; Sundah N. R.*; Ho N. R. Y.; Shen W.; Xu Y.; Natalia A.; Yu Z.; Seet J. E.; Chan C. W.; Loh T. P.; Lim B. Y.*; Shao H.*
    Nature Biomedical Engineering, 8(7), 909–923, 2024
    Figure 1 · Mapping higher-order protein interactions with DNA barcodes
  • 2023 Cell Press Patterns
    Enhanced Metagenomic Deep Learning for Disease Prediction and Consistent Signature Recognition by Restructured Microbiome 2D Representations
    Shen W.; Liang S. R.; Jiang Y. Y.*; Chen Y. Z*.
    Cell Press Patterns, 4(1), 100658, 2023
    MEGMA · From microbial abundance profiles to structured feature maps
  • 2023 Cell Press Patterns 🏆 People of Data Feature
    Toward Ordered-Omics Data Science: Researchers on the Magic of Turning Metagenomic Chaos into Image-Like Patterns
    Shen W.*; Chen Y. Z.*
    Cell Press Patterns, People of Data Special Issue, 4(1), 100673, 2023
    Professor Chen and Dr. Shen · The researchers behind ordered-omics data science
  • 2023 Computers in Biology and Medicine
    Deep Learning of 2D-Restructured Gene Expression Representations for Improved Low-Sample Therapeutic Response Prediction
    Cheng K.#; Shen W.#; Jiang Y.; Chen Y.; Chen Y. Z.*; Tan Y.*
    Computers in Biology and Medicine, 164, 107245, 2023
    Gene expression representations for therapeutic response prediction
  • 2023 Brain, Behavior, & Immunity – Health
    Chronic Treatment with Baicalein Alleviates Behavioural Disorders and Improves Cerebral Blood Flow via Reverting Metabolic Abnormalities in a J20 Transgenic Mouse Model of Alzheimer's Disease
    Zhang L.; Wong L. R.; Wong P.; Shen W.; Yang S.; Huang L.; Lim Y. A.; Ho P. C. L.*
    Brain, Behavior, & Immunity – Health, 28, 100599, 2023
    Baicalein · Molecular interactions
  • 2022 Nucleic Acids Research
    AggMapNet: Enhanced and Explainable Low-Sample Omics Deep Learning with Feature-Aggregated Multi-Channel Networks
    Shen W.; Liu Y.; Chen Y.; Zeng X.; Tan Y.; Jiang Y. Y.*; Chen Y. Z.*
    Nucleic Acids Research, 50(8), e45, 2022
    Figure 1A–B · Feature aggregation and the AggMapNet architecture
  • 2022 ACS Sensors
    Fluorescence Analysis of Circulating Exosomes for Breast Cancer Diagnosis Using a Sensor Array and Deep Learning
    Jin Y.; Du N.; Huang Y.; Shen W.; Tan Y.; Chen Y. Z.; Dou W.-T.; He X.-P.; Yang Z.; Xu N.; Tan C.*
    ACS Sensors, 7(5), 1524–1532, 2022
    Exosome sensing and deep learning for breast cancer diagnosis
  • 2021 Nature Machine Intelligence
    Out-of-the-Box Deep Learning Prediction of Pharmaceutical Properties by Broadly Learned Knowledge-Based Molecular Representations (MolMap)
    Shen W.; Zeng X.; Zhu F.; Wang Y.; Qin C.; Tan Y.; Jiang Y. Y.*; Chen Y. Z.*
    Nature Machine Intelligence, 3(4), 334–343, 2021
    Figure 1 · From molecular features to structured MolMap representations
  • 2021 ACS Chemical Biology
    High-Content Phenotypic Screen of a Focused TCAMS Drug Library Identifies Novel Disruptors of the Malaria Parasite Calcium Dynamics
    Chia W.; Gomez-Lorenzo M. G.; Castellote I.; Tong J. X.; Chandramohanadas R.; Thu Chu T. T.; Shen W.; … Tan K. S.*
    ACS Chemical Biology, 16(11), 2348–2372, 2021
    Chemical structures and molecular interactions
  • 2021 Life Sciences
    Functional Effects of Berberine in Modulating Mitochondrial Dysfunction and Inflammatory Response in the Respective Amyloidogenic Cells and Activated Microglial Cells – In Vitro Models Simulating Alzheimer's Disease Pathology
    Wong L. R.; Tan E. A.; Lim M. E. J.; Shen W.; Lian X. L.; Wang Y.; Chen L.; Ho P. C. L.*
    Life Sciences, 282, 119824, 2021
    Experimental profiles and molecular interaction analysis
  • 2021 Nucleic Acids Research
    MASI: Microbiota–Active Substance Interactions Database
    Zeng X.; Yang X.; Fan J.; Tan Y.; Ju L.; Shen W.; Cui C.; Zhu F.; Chen Y. Z.*
    Nucleic Acids Research, 49(D1), D776–D782, 2021
    Figure 1 · The MASI microbiota–active substance search interface
  • 2017 Molecular Informatics
    Predicting the Enzymatic Hydrolysis Half-Lives of New Chemicals Using Support Vector Regression Models Based on Stepwise Feature Elimination
    Shen W.; Xiao T.; Chen S.; Liu F.; Chen Y. Z.*; Jiang Y.*
    Molecular Informatics, 36(11), 2017
    Model performance for enzymatic hydrolysis prediction
  • 2017 Oncotarget
    Arctigenin Inhibits STAT3 and Exhibits Anticancer Potential in Human Triple-Negative Breast Cancer Therapy
    Feng T. T.#; Cao W.#; Shen W.; … [et al.]
    Oncotarget, 8(1), 329–344, 2017
    Arctigenin · Cell viability and anticancer activity
  • 2015 Open Life Sciences
    Mutation of the Conserved GRG Motif and Decreasing Activity of Human RNase H2
    Li L.; Shen W.; Zheng J.; [et al.]
    Open Life Sciences, 10(1), 2015
    RNase H2 · Structural views of the conserved motif
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AIDDPM Lab

College of Pharmaceutical Sciences, Zhejiang University
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148 Tianmushan Road, Xihu District, Hangzhou, Zhejiang, China 310028

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