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公开(公告)号:US20230268026A1
公开(公告)日:2023-08-24
申请号:US18046849
申请日:2022-10-14
Applicant: ABSCI CORPORATION
Inventor: Roberto Spreafico , Goran Rakocevic , Ariel Schwartz , Joshua Meier
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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公开(公告)号:US20250051823A1
公开(公告)日:2025-02-13
申请号:US18723092
申请日:2022-12-13
Applicant: ABSCI CORPORATION
Inventor: Miles Gander , Amy E. Doerner , Carla Risso , Gregory Hannum , Ariel Schwartz
Abstract: The disclosure provides products and methods for the heterologous expression of proteins in host cells. The provided expression constructs, bacterial cells and methods produce a PnlP-1 accessory protein that increases the yield of a heterologous protein of interest.
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