Patents Assigned to Collaborative Drug Discovery, Inc.
  • Publication number: 20220328141
    Abstract: A method includes generating a graph of a chemical compound based on at least one of an order-dependent representation of the chemical compound and a molecular graph representation of the chemical compound, encoding the graph based on an adjacency matrix of a graph convolutional neural network (GCN), an activation function of the GCN, and one or more weights of the GCN to generate a latent vector representation of the chemical compound, and decoding the latent vector representation based on a plurality of hidden states of a neural network (NN) to generate a reproduced order-dependent representation of the chemical compound.
    Type: Application
    Filed: March 31, 2022
    Publication date: October 13, 2022
    Applicant: Collaborative Drug Discovery, Inc.
    Inventors: Peter GEDECK, Barry A. BUNIN, Michael BOWLES, Philip CHEUNG, Alex Michael CLARK
  • Publication number: 20210287765
    Abstract: A method includes identifying, using one or more processors, a first plurality of fragments of a first structure graph representing a first chemical compound, and generating, using the one or more processors, a first plurality of subgraphs of the first structure graph based on the first plurality of fragments. The method includes generating, using the one or more processors, a first plurality of nodes based on the first plurality of subgraphs. The method includes arranging, using the one or more processors, the first plurality of nodes based on a number of the first plurality of fragments associated with each of the first plurality of subgraphs. The method includes connecting, using the one or more processors, the first plurality of nodes using a first plurality of edges and based on one or more reduced graph rules.
    Type: Application
    Filed: March 9, 2021
    Publication date: September 16, 2021
    Applicant: Collaborative Drug Discovery, Inc.
    Inventors: Barry A. BUNIN, Peter GEDECK
  • Patent number: 9594743
    Abstract: A process for identifying, accurately selecting, and storing scientific data that is present in textual formats. The process includes providing scientific data located in a text document and searching the text document using a computer and selecting a plurality of key words and phrases using an algorithm. The selected key words and phrases are matched with a plurality of semantic definitions and a plurality of semantic definition-key words and phrase pairs are created. The created plurality of semantic definition-key words and phrase pairs are displayed to a user via a computer user interface and the user selects which of the created plurality of semantic definition-key words and phrase pairs are accurate. The process also includes storing the selected and accurate semantic definition-key words and phrase pairs in computer memory.
    Type: Grant
    Filed: July 7, 2015
    Date of Patent: March 14, 2017
    Assignee: Collaborative Drug Discovery, Inc.
    Inventors: Barry A. Bunin, Nadia K. Litterman, Alex Clark