Patents by Inventor Christoffer NORN

Christoffer NORN 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).

  • De novo designed NTF2-like scaffolds for de novo design of enzymes and small molecule binders
    Publication number: 20230295639
    Abstract: Polypeptide are disclosed that comprise an amino acid sequence at least 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NO:1-1615, not including any functional domains added fused to the protein (whether N-terminal, C-terminal, or internal), and wherein the 1, 2, 3, 4, or 5 N-terminal and/or C-terminal amino acid residues may be present or absent when considering the percent identity.
    Type: Application
    Filed: January 17, 2023
    Publication date: September 21, 2023
    Inventors: Christoffer NORN, Ivan ANISHCHANKA, David BAKER, Sam PELLOCK, Douglas TISCHER, Hsien-Wei YEH
  • Method of computational protein design
    Patent number: 10665324
    Abstract: A method for constructing a library of amino-acid sequences having a common structural fold, and a method for designing and selecting an amino-acid sequence having a desired affinity to a molecular surface of interest of a molecular entity, using the library, are provided herein. The methods are based on a stochastic sampling of backbone conformations and amino acid conservation patterns observed in experimentally available protein structures having the common structural fold.
    Type: Grant
    Filed: July 6, 2015
    Date of Patent: May 26, 2020
    Assignee: Yeda Research and Development Co. Ltd.
    Inventors: Sarel Fleishman, Gideon Lapidoth, Maria Gabriele Pszolla, Christoffer Norn
  • METHOD OF COMPUTATIONAL PROTEIN DESIGN
    Publication number: 20170206308
    Abstract: A method for constructing a library of amino-acid sequences having a common structural fold, and a method for designing and selecting an amino-acid sequence having a desired affinity to a molecular surface of interest of a molecular entity, using the library, are provided herein. The methods are based on a stochastic sampling of backbone conformations and amino acid conservation patterns observed in experimentally available protein structures having the common structural fold.
    Type: Application
    Filed: July 6, 2015
    Publication date: July 20, 2017
    Inventors: Sarel FLEISHMAN, Gideon LAPIDOTH, Maria Gabriele PSZOLLA, Christoffer NORN