Patents by Inventor Stefan Seidler

Stefan Seidler 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).

  • Method for generating a hierarchical topological tree of 2D or 3D-structural formulas of chemical compounds for property optimisation of chemical compounds
    Publication number: 20070043511
    Abstract: The invention concerns a new method for automatically and dynamically generating hierarchical topological trees of 2D- or 3D-structural formulas for structurally characterized chemical compounds, especially drug-like molecules, wherein the molecular graph of each 2D- or 3D-structure for a chemical compound is analyzed in terms of topological key features, the Largest Topological Substructure (LTS) and the proper Topological Cluster Centre (TCC) are created for each molecular graph, the ranking of the classes of topological key features and/or the ranking within each class of topological key features present in the TCC is used to generate a connected hierarchical Topological Sequence Path (TSP) of sentinel molecules from each molecular graph, and different molecular graphs and their Topological Sequence Paths (TSPs) share common vertices for common topological key features thus growing a Topological Structure Tree (TST), each chemical compound from the input stream is attached as a leaf node to the appropriate
    Type: Application
    Filed: October 27, 2006
    Publication date: February 22, 2007
    Applicant: Bayer Aktiengesellschaft
    Inventors: Axel Jensen, Stefan Seidler
  • Method for generating a hierarchical topologican tree of 2d or 3d-structural formulas of chemical compounds for property optimisation of chemical compounds
    Publication number: 20040088118
    Abstract: The invention concerns a new method for automatically and dynamically generating hierarchical topological trees of 2D- or 3D-structural formulas for structurally characterized chemical compounds, especially drug-like molecules, wherein the molecular graph of each 2D- or 3D-structure for a chemical compound is analyzed in terms of topological key features, the Largest Topological Substructure (LTS) and the proper Topological Cluster Centre (TCC) are created for each molecular graph, the ranking of the classes of topological key features and/or the ranking within each class of topological key features present in the TCC is used to generate a connected hierarchical Topological Sequence Path (TSP) of sentinel molecules from each molecular graph, and different molecular graphs and their Topological Sequence Paths (TSPs) share common vertices for common topological key features thus growing a Topological Structure Tree (TST), each chemical compound from the input stream is attached as a leaf node to the appropriate
    Type: Application
    Filed: September 15, 2003
    Publication date: May 6, 2004
    Inventors: Axel Jensen, Stefan Seidler