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    From Years to Hours: Accelerating Drug Discovery with Advanced ML Techniques

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    From Years to Hours: Accelerating Drug Discovery with Advanced ML Techniques

    FT. BELVOIR, VIRGINIA, UNITED STATES

    08.12.2024

    Courtesy Photo

    Defense Threat Reduction Agency's Chemical and Biological Technologies Department

    General rational pipeline for antimicrobial peptide (AMP) prediction using GDL: From an initial AMP amino acid sequence, the relevant physicochemical characteristics are extracted, and the 3D structure of the sequence is predicted. Once the sequence and spatial relationships are obtained, they are converted into graphs in which the structural information is represented by the edges, while the amino acid residue information is represented by the nodes. The graph-based data is presented to a GDL network to predict whether the candidate is likely to have antimicrobial activity. (UPenn image created with BioRender.com)

    IMAGE INFO

    Date Taken: 08.12.2024
    Date Posted: 08.12.2024 22:58
    Photo ID: 8586141
    VIRIN: 240812-D-D0490-1005
    Resolution: 2083x1385
    Size: 429.52 KB
    Location: FT. BELVOIR, VIRGINIA, US

    Web Views: 19
    Downloads: 0

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