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    MOTORCADE REGULATION METHOD, DEVICE, ELECTRONIC EQUIPMENT AND STORAGE MEDIUM
    52.
    发明申请
    MOTORCADE REGULATION METHOD, DEVICE, ELECTRONIC EQUIPMENT AND STORAGE MEDIUM 有权

    公开(公告)号：US20230112972A1

    公开(公告)日：2023-04-13

    申请号：US17886936

    申请日：2022-08-12

    申请人： SHENZHEN TECHNOLOGY UNIVERSITY

    发明人： Xinjia Yu ,  Tao Cheng ,  Tielin Shi

    IPC分类号： G08G1/00 ,  G08G1/052 ,  G16B5/00 ,  G16B40/00

    摘要： Disclosed are a motorcade regulation method, a device, an electronic equipment and a storage medium. A diffusion region of pheromones is constructed by taking a first vehicle main body determined from a multi-cooperative task as a center; a second pheromone set of a second vehicle main body meeting with the first vehicle main body is perceived by using the first pheromone set generated outwardly by the first vehicle main body based on the neural autocrine mechanism; when the second vehicle main body satisfies a proximity condition and an affinity of the pheromones of the first and second vehicle main bodies satisfies a regulation condition, the second vehicle main body is selected to be regulated, and upon regulation, a formation is arranged according to the movement parameters of the first and second vehicle main bodies which are then moved towards the cluster position based on the arranged formation.

    MACHINE LEARNING METHOD FOR PROTEIN MODELLING TO DESIGN ENGINEERED PEPTIDES
    55.
    发明申请
    MACHINE LEARNING METHOD FOR PROTEIN MODELLING TO DESIGN ENGINEERED PEPTIDES 有权

    公开(公告)号：US20230095685A1

    公开(公告)日：2023-03-30

    申请号：US17961942

    申请日：2022-10-07

    申请人： iBio, Inc.

    发明人： Matthew P. Greving ,  Alexander T. Taguchi ,  Kevin E. Hauser

    IPC分类号： G16B40/20 ,  G16B5/00 ,  G16B5/30 ,  G06N20/00 ,  C07K14/00 ,  G06N5/04

    摘要： Provided herein are methods for design of engineered polypeptides that recapitulate molecular structure features of a predetermined portion of a reference protein structure, e.g., an antibody epitope or a protein binding site. A Machine Learning (ML) model is trained by labeling blueprint records generated from a reference target structure with scores calculated based on computational protein modeling of polypeptide structures generated by the blueprint records. The method may include training an ML model based on a first set of blueprint records, or representations thereof, and a first set of scores, each blueprint record from the first set of blueprint records associated with each score from the first set of scores. After the training, the machine learning model may be executed to generate a second set of blueprint records. A set of engineered polypeptides are then generated based on the second set of blueprint records.

    MONITORING, SIMULATION AND CONTROL OF BIOPROCESSES
    58.
    发明申请
    MONITORING, SIMULATION AND CONTROL OF BIOPROCESSES 有权

    公开(公告)号：US20230077294A1

    公开(公告)日：2023-03-09

    申请号：US17801213

    申请日：2021-01-14

    申请人： Sartorius Stedim Data Analytics AB

    发明人： Christopher Peter McCready ,  Brandon Corbett ,  Rickard Sjögren ,  Frida Nordström

    IPC分类号： G16B5/00 ,  C12M1/36 ,  C12M1/34 ,  G16B40/20

    摘要： Methods for monitoring, controlling and simulating a bioprocess comprising a cell culture in a bioreactor are provided. The methods comprise obtaining values of one or more process conditions for the bioprocess at one or more maturities, and determining the specific transport rates of one or more metabolites in the cell culture using the values obtained as input to a machine learning model trained to predict the specific transport rates of the one or more metabolites at a latest maturity of the one or more maturities or a later maturity based at least in part on the values of one or more process conditions for the bioprocess at the one or more preceding maturities. The methods further comprise predicting one or more features of the bioprocess based at least in part on the determined specific transport rates. Systems, computer readable media and methods for providing tools to implement such methods are also provided.