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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:US12134655B2
公开(公告)日:2024-11-05
申请号:US17606246
申请日:2020-04-29
Applicant: Absci Corporation
Inventor: Daniele Biasci , Goran Rakocevic , Berke Cagkan Toptas , Ines De Santiago Domingos De Jesus
Abstract: The disclosure herein relates to novel cancer-associated antibodies and antigen-binding fragments that are used in the diagnosis of a cancer or a metastasis thereof. The disclosure herein relates to novel cancer-associated antibodies and antigen-binding fragments that are used in the treatment of a cancer or a metastasis thereof. The disclosure herein relates to novel chimeric antigen receptor or a T cell receptor fusion protein that comprise one or more cancer-associated antigen-binding domains that are useful for the treatment of a cancer.
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