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    COMPUTING AFFINITY FOR PROTEIN-PROTEIN INTERACTION
    1.
    发明公开
    COMPUTING AFFINITY FOR PROTEIN-PROTEIN INTERACTION 审中-公开

    公开(公告)号：US20240029820A1

    公开(公告)日：2024-01-25

    申请号：US18225098

    申请日：2023-07-21

    Applicant: Nant Holdings IP, LLC ,  ImmunityBio, Inc.

    Inventor： Bing Song ,  Shiho Tanaka ,  Clifford Anders Olson ,  Phillip Yang ,  Patrick Soon-Shiong

    IPC: G16B15/30 ,  G16B15/20

    CPC classification number: G16B15/30 ,  G16B15/20

    Abstract: Techniques are provided for computing affinity for protein-protein interaction. 3D structure models of the first and second protein parts are generated using a trained first deep learning model. A 3D structure model of a protein-protein complex comprising the first and the second protein parts is generated using a trained second deep learning model. A low energy score state is determined for the 3D structure models of each of the first and second protein parts, and the protein-protein complex. A relax algorithm applied to amino acid side chain and backbone 3D structure models determines a low energy score state for the 3D structure models. Based on the low energy score states, an energy score is generated for the 3D structure models, and a score difference is determined between the energy scores, where the score difference defines a binding affinity score.

    Edge-based recognition, systems and methods
    3.
    发明授权
    Edge-based recognition, systems and methods 有权

    公开(公告)号：US11176406B2

    公开(公告)日：2021-11-16

    申请号：US16112512

    申请日：2018-08-24

    Applicant: Nant Holdings IP, LLC

    Inventor： Bing Song ,  Matheen Siddiqui

    IPC: G06F16/22 ,  G06K9/46 ,  G06F16/51 ,  G06F16/583 ,  G06K9/48 ,  G06T7/13 ,  G06K9/32 ,  H04L29/08

    Abstract: Edge-based recognition systems and methods are presented. Edges of the object are identified from the image data based on co-circularity of edgels, and edge-based descriptors are constructed based on the identified edges. The edge-based descriptors along with additional perception metrics are used to obtain a list of candidate objects matched with the edge-based descriptors. Through various filtering processes and verification processes, false positive candidate objects are further removed from the list to determine the final candidate object.

    IMAGE-BASED FEATURE DETECTION USING EDGE VECTORS
    4.
    发明申请
    IMAGE-BASED FEATURE DETECTION USING EDGE VECTORS 审中-公开

    公开(公告)号：US20190272441A1

    公开(公告)日：2019-09-05

    申请号：US16297557

    申请日：2019-03-08

    Applicant: Nant Holdings IP, LLC

    Inventor： Bing Song ,  Nicholas J. Witchey

    IPC: G06K9/48 ,  G06F16/583 ,  G06F16/51 ,  G06K9/46 ,  G06K9/62 ,  G06K9/00 ,  G06T3/40 ,  G06T7/246 ,  G06T7/181 ,  G06T7/143 ,  G06T7/13 ,  G06T5/40

    Abstract: Techniques are provided in which a plurality of edges are detected within a digital image. An anchor point located along an edge of the plurality of edges is selected. An analysis grid associated with the anchor point is generated, the analysis grid including a plurality of cells. An anchor point normal vector comprising a normal vector of the edge at the anchor point is calculated. Edge pixel normal vectors comprising normal vectors of the edge at locations along the edge within the cells of the analysis grid are calculated. A histogram of similarity is generated for each of one or more cells of the analysis grid, each histogram of similarity being based on a similarity measure between each of the edge pixel normal vectors within a cell and the anchor point normal vector, and a descriptor is generated for the analysis grid based on the histograms of similarity.

    Image Recognition Verification
    5.
    发明申请
    Image Recognition Verification 审中-公开

    公开(公告)号：US20190272284A1

    公开(公告)日：2019-09-05

    申请号：US16417490

    申请日：2019-05-20

    Applicant: Nant Holdings IP, LLC

    Inventor： Mustafa Jaber ,  Bing Song ,  Jeremi Sudol

    IPC: G06F16/583

    Abstract: Systems and methods of verifying the results of an initial image recognition process are presented. A verification engine can receive a set of candidate images corresponding to the results of an image recognition process performed on a captured query image. The verification engine can determine an appropriate verification technique to apply to the images of the candidate set, and classify, re-rank or otherwise re-organize the candidate set such that the best match from the candidate set is confirmed as a proper match.

    Image recognition verification
    6.
    发明授权
    Image recognition verification 有权

    公开(公告)号：US10318576B2

    公开(公告)日：2019-06-11

    申请号：US14736222

    申请日：2015-06-10

    Applicant: Nant Holdings IP, LLC

    Inventor： Mustafa Jaber ,  Bing Song ,  Jeremi Sudol

    IPC: G06F17/30 ,  G06F16/583

    Abstract: Systems and methods of verifying the results of an initial image recognition process are presented. A verification engine can receive a set of candidate images corresponding to the results of an image recognition process performed on a captured query image. The verification engine can determine an appropriate verification technique to apply to the images of the candidate set, and classify, re-rank or otherwise re-organize the candidate set such that the best match from the candidate set is confirmed as a proper match.

    Object ingestion through canonical shapes, systems and methods
    8.
    发明授权
    Object ingestion through canonical shapes, systems and methods 有权

    公开(公告)号：US10095945B2

    公开(公告)日：2018-10-09

    申请号：US15297053

    申请日：2016-10-18

    Applicant: Nant Holdings IP, LLC

    Inventor： Kamil Wnuk ,  David McKinnon ,  Jeremi Sudol ,  Bing Song ,  Matheen Siddiqui

    IPC: G06K9/00 ,  G06F17/00 ,  G06K9/32 ,  G06F17/30 ,  G06K9/46 ,  G06T7/60 ,  G06T7/13

    Abstract: An object recognition ingestion system is presented. The object ingestion system captures image data of objects, possibly in an uncontrolled setting. The image data is analyzed to determine if one or more a priori know canonical shape objects match the object represented in the image data. The canonical shape object also includes one or more reference PoVs indicating perspectives from which to analyze objects having the corresponding shape. An object ingestion engine combines the canonical shape object along with the image data to create a model of the object. The engine generates a desirable set of model PoVs from the reference PoVs, and then generates recognition descriptors from each of the model PoVs. The descriptors, image data, model PoVs, or other contextually relevant information are combined into key frame bundles having sufficient information to allow other computing devices to recognize the object at a later time.

    INVARIANT-BASED DIMENSIONAL REDUCTION OF OBJECT RECOGNITION FEATURES, SYSTEMS AND METHODS
    10.
    发明申请
    INVARIANT-BASED DIMENSIONAL REDUCTION OF OBJECT RECOGNITION FEATURES, SYSTEMS AND METHODS 审中-公开

    公开(公告)号：US20180005081A1

    公开(公告)日：2018-01-04

    申请号：US15706600

    申请日：2017-09-15

    Applicant: Nant Holdings IP, LLC

    Inventor： Kamil Wnuk ,  Jeremi Sudol ,  Bing Song ,  Matheen Siddiqui ,  David McKinnon

    IPC: G06K9/62 ,  G06K9/46

    CPC classification number: G06K9/6232 ,  G06K9/4633 ,  G06K9/4671 ,  G06K9/623

    Abstract: A sensor data processing system and method is described. Contemplated systems and methods derive a first recognition trait of an object from a first data set that represents the object in a first environmental state. A second recognition trait of the object is then derived from a second data set that represents the object in a second environmental state. The sensor data processing systems and methods then identifies a mapping of elements of the first and second recognition traits in a new representation space. The mapping of elements satisfies a variance criterion for corresponding elements, which allows the mapping to be used for object recognition. The sensor data processing systems and methods described herein provide new object recognition techniques that are computationally efficient and can be performed in real-time by the mobile phone technology that is currently available.

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