Patents by Inventor Holger Lossner

Holger Lossner 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).

  • Patent number: 11848074
    Abstract: A method for determining an optimized nucleotide sequence encoding a predetermined amino acid sequence, wherein the nucleotide sequence is optimized for expression in a host cell, and wherein the method comprises the steps of: (a) generating a plurality of candidate nucleotide sequences encoding the predetermined amino acid sequence; (b) obtaining a sequence score based on a scoring function based on a plurality of sequence features that influence protein expression in the host cell using a statistical machine learning algorithm, wherein the plurality of sequence features comprises one or more sequence features selected from the group consisting of protein per time, average elongation rate and accuracy for each of the plurality of candidate nucleotide sequences of step (a); and (c) determining the candidate nucleotide sequence with optimized protein expression in the host cell as the optimized nucleotide sequence.
    Type: Grant
    Filed: December 6, 2017
    Date of Patent: December 19, 2023
    Assignee: GOTTFRIED WILHELM LEIBNIZ UNIVERSITÄT HANNOVER
    Inventors: Reinhard Lipowsky, Sophia Rudorf, Holger Lossner, Jan-Hendrik Trosemeier, Ina Koch, Christel Kamp
  • Publication number: 20190325989
    Abstract: A method for determining an optimized nucleotide sequence encoding a predetermined amino acid sequence, wherein the nucleotide sequence is optimized for expression in a host cell, and wherein the method comprises the steps of: (a) generating a plurality of candidate nucleotide sequences encoding the predetermined amino acid sequence; (b) obtaining a sequence score based on a scoring function based on a plurality of sequence features that influence protein expression in the host cell using a statistical machine learning algorithm, wherein the plurality of sequence features comprises one or more sequence features selected from the group consisting of protein per time, average elongation rate and accuracy for each of the plurality of candidate nucleotide sequences of step (a); and (c) determining the candidate nucleotide sequence with optimized protein expression in the host cell as the optimized nucleotide sequence.
    Type: Application
    Filed: December 6, 2017
    Publication date: October 24, 2019
    Inventors: REINHARD LIPOWSKY, SOPHIA RUDORF, HOLGER LÖSSNER, JAN-HENDRIK TRÖSEMEIER, INA KOCH, CHRISTEL KAMP
  • Publication number: 20100086557
    Abstract: The present invention provides pharmaceutical compositions for use in tumor therapy as well as a medical treatment in tumor therapy. The compositions comprise a leukocyte diminishing and/or leukocyte inactivating agent for use in bacterial tumor therapy in combination. Preferably, the leukocyte inactivating or diminishing agents are expressed by the bacteria used for the production of a pharmaceutical composition for bacterial tumor therapy.
    Type: Application
    Filed: February 15, 2008
    Publication date: April 8, 2010
    Inventors: Kathrin Westphal-Daniel, Holger Lössner, Sara Bartels, Siegfried Weiss