公开(公告)号：US11923045B2

公开(公告)日：2024-03-05

申请号：US18085269

申请日：2022-12-20

Applicant: TripleBar Bio, Inc.

Inventor： Jeremy Agresti ,  Andres Ornelas Vargas ,  Kevin Gregory Hoff

IPC: G01N33/48 ,  C12N15/10 ,  G01N33/50 ,  G16B20/00 ,  G16B20/50 ,  G16B35/10 ,  G16B40/00 ,  G16B99/00

CPC classification number: G16B20/00 ,  C12N15/1037 ,  C12N15/1058 ,  C12N15/1089 ,  G16B20/50 ,  G16B35/10 ,  G16B40/00 ,  G16B99/00

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.

公开(公告)号：US11972840B2

公开(公告)日：2024-04-30

申请号：US18084975

申请日：2022-12-20

Applicant: TripleBar Bio, Inc.

Inventor： Jeremy Agresti ,  Andres Ornelas Vargas ,  Kevin Gregory Hoff

IPC: G16B20/00 ,  C12N15/10 ,  C40B30/04 ,  G16B20/50 ,  G16B35/10 ,  G16B40/00 ,  G16B99/00

CPC classification number: G16B20/00 ,  C12N15/1037 ,  C12N15/1058 ,  C12N15/1089 ,  G16B20/50 ,  G16B35/10 ,  G16B40/00 ,  C40B30/04 ,  G16B99/00

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.