The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 15, 2026

Filed:

Sep. 22, 2023
Applicant:

Genentech, Inc., South San Francisco, CA (US);

Inventors:

Kai Liu, Belmont, CA (US);

Milad Salem, Orlando, FL (US);

William John Thrift, San Francisco, CA (US);

Assignee:

GENENTECH, INC., South San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16B 40/20 (2019.01); G16B 20/00 (2019.01); G16H 15/00 (2018.01); G16H 20/10 (2018.01);
U.S. Cl.
CPC ...
G16B 40/20 (2019.02); G16B 20/00 (2019.02); G16H 15/00 (2018.01); G16H 20/10 (2018.01);
Abstract

Methods, systems, compositions, and computer program products are provided for accurately identifying candidate neoantigens that exhibit immunogenic properties. In some embodiments, a method provided herein includes receiving a set of candidate peptide sequences, each candidate peptide sequence in the set having a major histocompatibility complex (MHC) presentation score meeting a pre-set criterion. The method further includes identifying a corresponding MHC peptide sequence associated with each candidate peptide sequence in the set; generating immunogenicity input vectors from the set of candidate peptide sequences by processing a representation of each candidate peptide sequence in the set of candidate peptide sequences and a representation of the corresponding MHC peptide sequence for each candidate peptide sequence in the set. The method further includes inputting the immunogenicity input vectors into an immunogenicity model to generate predictions of whether a candidate peptide sequence in the set is immunogenic; and returning an output comprising the predictions.


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