TRAINING METHOD AND APPARATUS FOR FULL ATOMIC STRUCTURE PREDICTION MODEL, AND ELECTRONIC DEVICE

    公开(公告)号:US20250104817A1

    公开(公告)日:2025-03-27

    申请号:US18974497

    申请日:2024-12-09

    Abstract: A training method and apparatus for a full atomic structure prediction model. The method includes: obtaining structural information of a biomolecule and a first dynamic trajectory of the biomolecules; in which, the first dynamic trajectory includes position information of atoms in the biomolecule at different time points; adding noise to the first dynamic trajectory to obtain a second dynamic trajectory; encoding the structural information to obtain encoded features; decoding the encoded features and the second dynamic trajectory to obtain a target dynamic trajectory; and training an initial full atomic structure prediction model based on a difference between the target dynamic trajectory and the first dynamic trajectory, to obtain the full atomic structure prediction model.

    METHOD FOR INFORMATION PROCESSING, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20250104803A1

    公开(公告)日:2025-03-27

    申请号:US18972078

    申请日:2024-12-06

    Abstract: A method for information processing, is performed by an electronic device, and the method includes: obtaining a residue sequence AT that does not carry amino acid information and a first protein backbone structure BT generated by pure noise; and performing iterative denoising on the residue sequence AT and the first protein backbone structure BT; for a tth denoising, obtaining coevolution information of a residue sequence AT+1−t, and obtaining, based on the coevolution information and a first protein backbone structure BT+1−t, a residue sequence AT−t and a first protein backbone structure BT−t after the tth denoising, until the denoising is completed and a target amino acid sequence and a second protein backbone structure are obtained, where t is a positive integer, and 1≤t≤T, and T is a number of denoising times.

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