Drug DISCOVERY
Target Identification
Network pharmacology

Drug DISCOVERY Target Identification Network pharmacologyDrug DISCOVERY Target Identification Network pharmacologyDrug DISCOVERY Target Identification Network pharmacology

Drug DISCOVERY
Target Identification
Network pharmacology

Drug DISCOVERY Target Identification Network pharmacologyDrug DISCOVERY Target Identification Network pharmacologyDrug DISCOVERY Target Identification Network pharmacology
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    Transform Your Drug Discovery Today

    Transform Your Drug Discovery Today Transform Your Drug Discovery Today Transform Your Drug Discovery Today

    Bring Traditional Chinese Medicine to the World with AI

    See Application Scenarios

    Transform Your Drug Discovery Today

    Transform Your Drug Discovery Today Transform Your Drug Discovery Today Transform Your Drug Discovery Today

    Bring Traditional Chinese Medicine to the World with AI

    See Application Scenarios

    AI Medicine from the Past to the Future

    Traditional Chinese medicine (TCM) represents a rich repository of bioactive compounds with well-documented therapeutic histories.
    We have developed deep learning models that accurately predict the molecular targets of these compounds across the human proteome.
    By integrating these models with cutting-edge bioinformatics and computational tools, our goal is to:

    • discover novel drug candidates,
       
    • identify new therapeutic targets, and
       
    • elucidate the complex pharmacological networks underlying their effects.


    Our Expertise Strength:

    Data Collection , AI Learning, Prediction and Proving

    A List of Application Scenarios

    Scenario 1

    Customers often submit compounds without knowing their molecular targets.
    Using our proprietary AI models, we accurately predict these targets and validate the results through advanced computational techniques.
    Additionally, we offer wet-lab data to further support and confirm our predictions. 

    Scenario 2

    Customers often require large-scale virtual screening of compound libraries against a specific protein target.
    We develop deep learning models capable of screening billions of compounds efficiently, providing detailed insights into their developability and drug-like properties.
    To further support the discoveries, we also offer wet-lab validation data where needed. 

    Scenario 3

    Customers seeking to elucidate the complex pharmacological networks underlying the therapeutic effects of herbal medicines can benefit from our expertise.
    With deep knowledge of Traditional Chinese Medicine, a comprehensive and reliable herb-compound database, and proprietary AI models, we apply network pharmacology to uncover signaling pathways and mechanisms of action in a systems-level context. 

    Scenario 4

    Customers looking to discover new drugs or lead compounds from Traditional Chinese Medicine or natural products can leverage our expertise.
    Using proprietary AI models, we identify high-quality hits—ranging from low to high affinity—for defined targets from our extensive virtual compound libraries. 

    Scenario 5

    Customers interested in drug repurposing or understanding off-target effects can benefit from our predictive platform.
    Using our proprietary AI models, we identify potential secondary targets beyond the known ones.
    This expanded target profile supports repurposing strategies and helps anticipate or mitigate adverse side effects. 

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    See Our Exciting Data in Action

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      info@shingene.com

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