Patents by Inventor Tingyang Xu

Tingyang Xu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240412043
    Abstract: This application discloses training a noise data determining model and determining noise data. A method includes: obtaining sample noisy small molecule data and annotated noise data, the sample noisy small molecule data including data of a plurality of sample atoms; outputting a sample graph structure by using a neural network model based on the data of the plurality of sample atoms; performing prediction on the sample graph structure by using the neural network model, to obtain predicted noise data; and training the neural network model based on the predicted noise data and the annotated noise data, to obtain a noise data determining model.
    Type: Application
    Filed: August 14, 2024
    Publication date: December 12, 2024
    Applicant: Tencent Technology (Shenzhen) Company Limited
    Inventors: Lei HUANG, Hengtong ZHANG, Tingyang XU
  • Patent number: 11942191
    Abstract: A compound property prediction method is provided for an electronic device. The method includes obtaining chemical structure information of a target compound, the chemical structure information including an atom and a chemical bond, modeling a chemical structure graph according to the chemical structure information, the chemical structure graph including a first node corresponding to the atom and a first edge corresponding to the chemical bond, constructing an original node feature of the first node and an original edge feature of the first edge, performing a message propagation on the first edge according to the original node feature of the first node and the original edge feature of the first edge to obtain propagation state information of the first edge, and predicting properties of the target compound according to the propagation state information of the first edge.
    Type: Grant
    Filed: February 4, 2021
    Date of Patent: March 26, 2024
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Yu Rong, Wenbing Huang, Tingyang Xu
  • Publication number: 20230399332
    Abstract: The present disclosure provides a compound. The compound is a compound as shown in Formula (I) or a stereoisomer, tautomer, deuterated compound, oxynitride, solvate, metabolite, pharmaceutically acceptable salt or prodrug of the compound having a structure as shown in Formula (I).
    Type: Application
    Filed: August 24, 2023
    Publication date: December 14, 2023
    Inventors: Ding XUE, Tingyang XU, Junhong HUANG, Wei LIU
  • Publication number: 20230274797
    Abstract: A method for training molecular binding models includes: using a to-be-trained molecular binding model to determine, based on protein feature information and molecular feature information, binding activity feature information, embedding feature information and eutectic feature information between sample protein molecules and sample alternative molecules; determining a training loss of the to-be-trained molecular binding model based on the binding activity feature information, the embedding feature information and the eutectic feature information; and outputting the molecular binding model as a trained molecular binding model when the training loss meets a training target; the trained molecular binding model being configured to determine binding activity feature information between a target protein molecule and a target alternative molecule to predict the binding activity of a compound after virtual binding of the target protein molecule and the target alternative molecule.
    Type: Application
    Filed: May 10, 2023
    Publication date: August 31, 2023
    Inventors: Yatao BIAN, Tingyang XU
  • Publication number: 20230103635
    Abstract: A method for determining interaction information, a method for training interaction information prediction model, a device, and a medium are provided. The method includes obtaining basic information of a first target object, basic information of a second target object, and a target interaction information prediction model, the target interaction information prediction model being obtained through training by using a global-level loss function and a key local-level loss function, the key local-level loss function being determined based on attention information corresponding to one or more key sub-sample objects in one or more sample objects meeting a reference condition; and invoking the target interaction information prediction model to process the basic information of the first target object and the basic information of the second target object, and obtaining target interaction information between the first target object and the second target object.
    Type: Application
    Filed: December 6, 2022
    Publication date: April 6, 2023
    Inventors: Tingyang XU, Jiying ZHANG, Fei YE, Yatao BIAN, Yu RONG
  • Publication number: 20230104956
    Abstract: The present disclosure provides a compound and use thereof as a glucagon receptor antagonist. The compound includes a compound A, or an isomer, metabolite, prodrug, pharmaceutically acceptable ester, or pharmaceutically acceptable salt of the compound A. The glucagon receptor antagonist in the present disclosure has a novel skeleton structure and a low half maximal inhibitory concentration on the glucagon receptor.
    Type: Application
    Filed: December 5, 2022
    Publication date: April 6, 2023
    Inventors: Qifeng BAI, Tingyang XU, Liya FENG, Shuo LIU, Junzhou HUANG, Huanxiang LIU, Xiaojun YAO
  • Publication number: 20230098398
    Abstract: An electronic device obtains structural data of a reference molecule. The electronic device performs structural separation on the structural data of the reference molecule to obtain group data of a molecular segment group corresponding to the reference molecule. The electronic device performs feature processing on the group data of the molecular segment group to obtain a candidate segment for replacing the fragment segment. The electronic device generates structural data of a reconstructed molecule based on the candidate segment and the side chain segment.
    Type: Application
    Filed: December 1, 2022
    Publication date: March 30, 2023
    Inventors: Tingyang XU, Junhong HUANG, Shaoyong XU, Li TIAN, Xinde CHEN, Wei LIU, Junzhou HUANG, Ding XUE, Yang YU
  • Publication number: 20230083810
    Abstract: An electronic device generates, according to a connection graph structure corresponding to a reference drug molecule, an atomic latent vector corresponding to the reference drug molecule. The device performs atom masking processing on the atomic latent vector to obtain a scaffold latent vector and a sidechain latent vector included in the atomic latent vector. The device generates a target scaffold latent vector with a target transition degree between the scaffold latent vector and the target scaffold latent vector according to a spatial distribution of the scaffold latent vector. The device generates a transitioned drug molecule according to the target scaffold latent vector and the sidechain latent vector.
    Type: Application
    Filed: November 22, 2022
    Publication date: March 16, 2023
    Inventors: Tingyang XU, Yang YU, Yu RONG, Wei LIU, Junzhou HUANG, Guiping TU, Yaping QIU, Xuemin CHENG
  • Publication number: 20220415433
    Abstract: This disclosure provides a drug screening method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: determining a structural feature of a protein molecule and a structural feature of a target molecule; obtaining a concatenated node feature corresponding to the protein molecule and the target molecule based on a node information passing sub-network in a drug screening model, the structural feature of the protein molecule, and the structural feature of the target molecule, the node information passing sub-network being a graph neural network; and predicting a first predicted activity value after the protein molecule and the target molecule are bound according to the concatenated node feature.
    Type: Application
    Filed: August 31, 2022
    Publication date: December 29, 2022
    Applicant: Tencent Technology (Shenzhen) Company Limited
    Inventors: Tingyang XU, Jiying ZHANG, Fei YE, Yu RONG, Junzhou HUANG
  • Publication number: 20220044767
    Abstract: A compound property analysis method is provided. The method includes obtaining, according to a molecular structure of a compound, a feature vector of the compound, the feature vector including a node vector of each node and an edge vector of each edge, processing the feature vector by using a feature map extraction model branch to obtain a graph representation vector, and processing the graph representation vector by using a classification model branch to obtain a property of the compound. Thus, in the process of compound property analysis, the graph representation vector that can accurately represent a feature of the compound is obtained based on a graph data structure of the compound, and a classification property of the compound may be obtained based on the graph representation vector, thereby improving the accuracy of determining the classification property of the compound. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also provided.
    Type: Application
    Filed: October 25, 2021
    Publication date: February 10, 2022
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Yu RONG, Wenbing HUANG, Tingyang XU
  • Publication number: 20210158904
    Abstract: A compound property prediction method is provided for an electronic device. The method includes obtaining chemical structure information of a target compound, the chemical structure information including an atom and a chemical bond, modeling a chemical structure graph according to the chemical structure information, the chemical structure graph including a first node corresponding to the atom and a first edge corresponding to the chemical bond, constructing an original node feature of the first node and an original edge feature of the first edge, performing a message propagation on the first edge according to the original node feature of the first node and the original edge feature of the first edge to obtain propagation state information of the first edge, and predicting properties of the target compound according to the propagation state information of the first edge.
    Type: Application
    Filed: February 4, 2021
    Publication date: May 27, 2021
    Inventors: Yu RONG, Wenbing HUANG, Tingyang XU
  • Patent number: 10340734
    Abstract: A power generator system with anomaly detection and methods for detecting anomalies include a power generator that includes one or more physical components configured to provide electrical power. Sensors are configured to make measurements of a state of respective physical components, outputting respective time series of said measurements. A monitoring system includes a fitting module configured to determine a predictive model for each pair of a set of time series, an anomaly detection module configured to compare new values of each pair of time series to values predicted by the respective predictive model to determine if the respective predictive model is broken and to determine a number of broken predictive model, and an alert module configured to generate an anomaly alert if the number of broken predictive models exceeds a threshold.
    Type: Grant
    Filed: August 18, 2017
    Date of Patent: July 2, 2019
    Assignee: NEC Corporation
    Inventors: Tan Yan, Dongjin Song, Haifeng Chen, Guofei Jiang, Tingyang Xu
  • Publication number: 20180054085
    Abstract: A power generator system with anomaly detection and methods for detecting anomalies include a power generator that includes one or more physical components configured to provide electrical power. Sensors are configured to make measurements of a state of respective physical components, outputting respective time series of said measurements. A monitoring system includes a fitting module configured to determine a predictive model for each pair of a set of time series, an anomaly detection module configured to compare new values of each pair of time series to values predicted by the respective predictive model to determine if the respective predictive model is broken and to determine a number of broken predictive model, and an alert module configured to generate an anomaly alert if the number of broken predictive models exceeds a threshold.
    Type: Application
    Filed: August 18, 2017
    Publication date: February 22, 2018
    Inventors: Tan Yan, Dongjin Song, Haifeng Chen, Guofei Jiang, Tingyang Xu
  • Publication number: 20180053111
    Abstract: Methods and systems for detecting anomalies include determining a predictive model for each pair of a set of time series, each time series being associated with a component of a system. New values of each pair of time series are compared to values predicted by the respective predictive model to determine if the respective predictive model is broken. A number of broken predictive models is determined. An anomaly alert is generated if the number of broken predictive models exceeds a threshold.
    Type: Application
    Filed: August 18, 2017
    Publication date: February 22, 2018
    Inventors: Tan Yan, Dongjin Song, Haifeng Chen, Guofei Jiang, Tingyang Xu