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公开(公告)号:US20220074945A1
公开(公告)日:2022-03-10
申请号:US17532332
申请日:2021-11-22
发明人: Michel Sadelain , Fabiana Perna
IPC分类号: G01N33/574 , G16B5/00 , G16B20/00 , G16B30/00 , A61K35/17 , A61P35/02 , A61K39/00 , G01N33/569 , C07K14/705 , C07K14/715 , C07K16/00 , C07K14/72 , C07K14/47 , G16B20/30 , G16B20/20 , G16B20/50 , A61P35/00 , C07K16/28 , G01N33/566 , G01N33/68 , G06K9/00
摘要: The presently disclosed subject matter provides methods and compositions for treating myeloid disorders (e.g., acute myeloid leukemia (AML)). It relates to immunoresponsive cells bearing antigen recognizing receptors (e.g., chimeric antigen receptors (CARs)) targeting AML-specific antigens.
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公开(公告)号:US11256994B1
公开(公告)日:2022-02-22
申请号:US17202722
申请日:2021-03-16
申请人: Ro5 Inc.
发明人: Alwin Bucher , Aurimas Pabrinkis , Orestis Bastas , Mikhail Demtchenko , Zeyu Yang , Cooper Stergis Jamieson , {hacek over (Z)}ygimantas Jo{hacek over (c)}ys , Roy Tal , Charles Dazler Knuff
摘要: A system and method that predicts whether a given protein-ligand pair is active or inactive and outputs a pose score classifying the propriety of the pose. A 3D bioactivity platform comprising a 3D bioactivity module and data platform scrapes empirical lab-based data that a docking simulator uses to generate a dataset from which a 3D-CNN model is trained. The model then may receive new protein-ligand pairs and determine a classification for the bioactivity and pose propriety of that protein-ligand pair. Furthermore, gradients relating to the binding affinity in the 3D model of the molecule may be used to generate profiles from which new protein targets may be determined.
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公开(公告)号:US11232854B2
公开(公告)日:2022-01-25
申请号:US16151111
申请日:2018-10-03
发明人: Ariel Hippen Anderson , Ahna R. Girshick , Ross E. Curtis , Benjamin Wilson , David A. Turissini
IPC分类号: G01N33/48 , G01N33/50 , G16B40/20 , G16B40/00 , G16B5/00 , G16B50/10 , G16B40/30 , G16B10/00 , G16B5/20
摘要: Described are techniques for determining population structure from identity-by-descent (IBD) of individuals. The techniques may be used to predict that an individual belongs to zero, one or more of a number of communities identified within an IBD network. Additional data may be used to annotate the communities with birth location, surname, and ethnicity information. In turn, these data may be used to provide to an individual a prediction of membership to zero, one or more communities, accompanied by a summary of the information annotated to those communities. Ethnicity heterogeneity and age information may be tabulated and provided based on community membership information.
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公开(公告)号:US20220015878A1
公开(公告)日:2022-01-20
申请号:US17489825
申请日:2021-09-30
申请人: TRISPERA DENTAL INC.
发明人: George Cowburn
摘要: A method and system for acquiring data from an individual for preparing a 3D model. The method includes acquiring first, second, and third data sets. The first data set facilitates structural modeling of maxillary and mandibular arches of the individual. The second data set facilitates relating a maxilla of the individual to the maxillary arch, and a mandible of the individual to the mandibular arch. The individual is confirmed to be at the physiological rest position when the third data set is acquired. The third data set facilitates structural modeling of at the maxilla and the mandible, wherein a maxillo-mandibular relationship is at the physiological rest position. The system includes a first data acquisition module for acquiring the first data set, a second data acquisition module for acquiring the second and third data sets, and a processor in operative communication with the first and second data acquisition modules.
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公开(公告)号:US20220005550A1
公开(公告)日:2022-01-06
申请号:US17480315
申请日:2021-09-21
申请人: Zymergen Inc.
发明人: Oliver LIU , Eyal AKIVA , Tom Hayon EYLES , Ute GALM , Sangita GANESH , Stephanie Leanne Brown HENDRIX , William W. HWANG , Jeffrey Hoon KIM , Alexander NECKELMANN , Samuel OTENG-PABI , Claus PELIKAN , Devin SCANNELL , Zachariah SERBER , Jennifer SHOCK , Michael W. SNEDDON , Xiao YANG
摘要: The present disclosure provides methods and systems for identifying natural product-encoding multi-gene clusters (MGCs). In some embodiments, the present disclosure also teaches methods for producing sequenced and assembled metagenomic libraries that are amenable to MGC search bionformatic tools and techniques.
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公开(公告)号:US20210403946A1
公开(公告)日:2021-12-30
申请号:US17244774
申请日:2021-04-29
摘要: Techniques for identifying production-fit amino acid sequence libraries are disclosed. The techniques may include accessing a statistical model relating an input amino acid sequence to production fitness of a protein having the input amino acid sequence, obtaining production fitness information for production-fit variant amino acid sequences, and generating an amino acid sequence library having amino acid sequences with predicted production fitness in accordance with the production fitness information. The techniques further include using a statistical model for a protein characteristic other than production fitness to generate an amino acid sequence library having amino acid sequences that are both predicted to be production-fit and have the protein characteristic.
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公开(公告)号:US11209419B2
公开(公告)日:2021-12-28
申请号:US17098415
申请日:2020-11-15
申请人: Low Carbon Beef, LLC
发明人: Colin M. Beal
摘要: Approaches provide for machine learning or training algorithms that apply modifications to models based on a type of data obtained, including, for example, producer-specific management practice data, genetic data, among other such data. The animal-centric models can be configured to, for example, quantify gas emissions (e.g., greenhouse gas emissions) that an animal may be expected to emit over a period of time, including, for example, over the animal's lifetime. The emissions in certain embodiments can further enable the certification of emissions for individual animals.
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公开(公告)号:US11208649B2
公开(公告)日:2021-12-28
申请号:US17308528
申请日:2021-05-05
申请人: Zymergen Inc.
发明人: Zachariah Serber , Erik Jedediah Dean , Shawn Manchester , Katherine Gora , Michael Flashman , Erin Shellman , Aaron Kimball , Shawn Szyjka , Barbara Frewen , Thomas Treynor , Kenneth S. Bruno
IPC分类号: C12N15/10 , G16B5/00 , G01N35/00 , C12N15/77 , G01N35/10 , G16B40/00 , C12N15/80 , B01L3/02 , C12N15/00 , B01L3/00 , G16B20/00
摘要: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.
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公开(公告)号:US11205139B2
公开(公告)日:2021-12-21
申请号:US16637369
申请日:2019-08-02
发明人: Neal Woodbury
摘要: Methods and systems, including those employing machine learning, utilizing one or more algorithms for relating the structure of a molecule in a library to its function are described. Embodiments described herein relate structure to function by considering the covalent structure of the molecule, the components of that structure that are common to many molecules in the library, and the properties of those components as they relate to the function in question. Applications include, for example, enhancement and amplification of the diagnostic and prognostic signals provided by peptide arrays for use in analyzing the profile of antibodies in the blood produced in response to a disease, condition or treatment.
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公开(公告)号:US20210375392A1
公开(公告)日:2021-12-02
申请号:US17303398
申请日:2021-05-27
申请人: 23andMe, Inc.
发明人: Michael Polcari , Jianan Zhan , Manoj Ganesan , Austin William Marshall , James Rowan Ashenhurst , Derrick Poo-Ray Kondo , Shiva Amiri , Subarnarekha Sinha , Sanjeev Suresh , John Michael Macpherson , Bertram Lorenz Koelsch , Cordell T. Blakkan , Shannon M. Hamilton
摘要: The disclosed embodiments concern methods, apparatus, systems, and computer program products for developing polygenic risk score (PRS) models. In some implementations, a fully automated process is provided that allows for a PRS model to be defined by an initial set of parameters. In some implementations the PRS models are trained to provide a PRS for particular populations.
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