DESIGNING BIOMOLECULE SEQUENCE VARIANTS WITH PRE-SPECIFIED ATTRIBUTES

    公开(公告)号:US20230268026A1

    公开(公告)日:2023-08-24

    申请号:US18046849

    申请日:2022-10-14

    CPC classification number: G16B20/30 G06N3/08 G16B20/20 G16B40/20

    Abstract: A computing system includes a processor and a memory having stored thereon a trained machine-learned model and instructions that, when executed by the one or more processors, cause the computing system to process a biomolecule sequence variant to predict binding characteristics, identify biomolecule sequence variants of interest; and provide the biomolecule sequence variants of interest as output. A computer-implemented method for training a machine learning model to identify biomolecule sequence variants of interest includes generating biomolecule sequence variants, receiving screening data; and training the machine learning model to predict binding characteristics of an input biomolecule sequence variant. A computing system includes a processor; and a non-transitory computer-readable media having stored thereon a machine-learned model trained using training data and instructions that, when executed by the one or more processors, cause the computing system to: process one or more input biomolecule sequence variants; and provide a predicted naturalness characteristics as output.

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