MULTIPARAMETRIC DISCOVERY AND OPTIMIZATION PLATFORM

    公开(公告)号:US20230174968A1

    公开(公告)日:2023-06-08

    申请号:US18084975

    申请日:2022-12-20

    CPC classification number: C12N15/1037

    Abstract: Provided herein are systems and methods for screening desirable biological variants using a high-throughput integrated system. The integrated system may be configured to input a plurality of parameters from functional studies of biological variants under applied conditions, in conjunction with integrated libraries of biological variants, and filter the inputs to produce desirable biological variants based on an input performance requirement. The system may output optimized strains, molecules, or novel molecules expected to have a desirable functional characteristic. Accordingly, the methods and systems disclosed herein enable multi-parametric studies of biological diversity and conditional diversity in systems biology.

    MULTIPARAMETRIC DISCOVERY AND OPTIMIZATION PLATFORM

    公开(公告)号:US20230154562A1

    公开(公告)日:2023-05-18

    申请号:US18085269

    申请日:2022-12-20

    CPC classification number: C12N15/1058 C12N15/1089

    Abstract: Provided herein are systems and methods for screening desirable biological variants using a high-throughput integrated system. The integrated system may be configured to input a plurality of parameters from functional studies of biological variants under applied conditions, in conjunction with integrated libraries of biological variants, and filter the inputs to produce desirable biological variants based on an input performance requirement. The system may output optimized strains, molecules, or novel molecules expected to have a desirable functional characteristic. Accordingly, the methods and systems disclosed herein enable multi-parametric studies of biological diversity and conditional diversity in systems biology.

    MULTIPARAMETRIC DISCOVERY AND OPTIMIZATION PLATFORM

    公开(公告)号:US20250061962A1

    公开(公告)日:2025-02-20

    申请号:US18617186

    申请日:2024-03-26

    Abstract: Provided herein are systems and methods for screening desirable biological variants using a high-throughput integrated system. The integrated system may be configured to input a plurality of parameters from functional studies of biological variants under applied conditions, in conjunction with integrated libraries of biological variants, and filter the inputs to produce desirable biological variants based on an input performance requirement. The system may output optimized strains, molecules, or novel molecules expected to have a desirable functional characteristic. Accordingly, the methods and systems disclosed herein enable multi-parametric studies of biological diversity and conditional diversity in systems biology.

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