Patents by Inventor Marius EIDSAA

Marius EIDSAA 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: 20220208301
    Abstract: According to a first aspect of the present invention there is provided a computer-implemented method of predicting a binding affinity value of a query binder molecule to a query target molecule, the query binder molecule having a first amino acid sequence and the query target molecule having a second amino acid sequence, the method comprising: encoding the first and second amino acid sequences together as a plurality of data elements to generate an encoded pair of amino acids, each data element of the encoded pair representing which amino acids from the first and second amino acid sequences are paired at a respective contact point between the first amino acid sequence and the second amino acid sequence to form a contact point pair, wherein a contact point pair is a pairing of amino acids from a binder molecule and a target molecule which are proximal to one another to influence binding; and, applying a machine learning or statistical model to the encoded pair of amino acids to predict a binding affinity value
    Type: Application
    Filed: May 15, 2020
    Publication date: June 30, 2022
    Inventors: Chris Rose, Marius Eidsaa, Richard Stratford, Trevor Clancy
  • Publication number: 20210391032
    Abstract: In a first aspect of the present disclosure, there is provided a computer-implemented method of predicting a binding affinity of a query binder molecule to a query target molecule, the query binder molecule having a first amino acid sequence and the query target molecule having a second amino acid sequence, the method comprising: computing, with the at least one processor, the binding affinity for the query binder molecule to the query target molecule as a weighted combination of reference binding values of reference binder-target subsequence pairs, wherein weights of the weighted combination are based on similarity scores.
    Type: Application
    Filed: October 4, 2019
    Publication date: December 16, 2021
    Inventors: Marius EIDSAA, Richard STRATFORD, Trevor CLANCY