AIDDPM 实验室——人工智能驱动药物发现与精准医学
  • 首页
  • 成员
  • 论文
  • 教学
  • 工具
  • 动态
  • 相册
  • 加入我们
EN / 中文
AIDDPM 实验室
  • 首页
  • 成员
  • 论文
  • 教学
  • 工具
  • 动态
  • 相册
  • 加入我们
  • 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.*
    Nat. Med., 32, 3010–3022, 2026
    Figure 1a–c · COMPASS: biological concepts, pretraining and treatment prediction
  • 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.*
    Nat. Commun., 17, 9376, 2026
    Figure 1 · Activity-cliff-aware graph learning
  • 2026 ChemRxiv
    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, 2026
    MusicMol framework: bidirectional molecule-to-music generation and music-to-molecule decoding
  • 2026 ChemRxiv
    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, 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*
    J. Chem. Inf. Model., 66 (2), 881–893, 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.*
    Nat. Mach. Intell., 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.*
    Nat. Biomed. Eng., 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*.
    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.*
    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.*
    Comput. Biol. Med., 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 Behav. Immun. 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 Res., 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 Sens., 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.*
    Nat. Mach. Intell., 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 Chem. Biol., 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 Sci., 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 Res., 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.*
    Mol. Inform., 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 Sci., 10(1), 2015
    RNase H2 · Structural views of the conserved motif
栏目
  • 首页
  • 成员
  • 论文
  • 教学
  • 工具
  • 动态
  • 相册
  • 加入我们
工具
  • COMPASS
  • MolMap
  • AggMap
  • Leadmaster
  • MusicMol
AIDDPM 实验室

药学院, 浙江大学
西溪校区西七楼 309 室
中国浙江省杭州市西湖区天目山路 148 号,邮编 310028

访客

访客统计需要启用 JavaScript。

MapMyVisitors
© 2025–2026 浙江大学 AIDDPM 实验室。保留所有权利。