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:
Mar. 01, 2022

Filed:

May. 03, 2019
Applicant:

Gritstone Bio, Inc., Emeryville, CA (US);

Inventors:

Brendan Bulik-Sullivan, Cambridge, MA (US);

Thomas Francis Boucher, Boston, MA (US);

Roman Yelensky, Newton, MA (US);

Assignee:

GRITSTONE BIO, INC., Emeryville, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16B 40/00 (2019.01); G01N 33/50 (2006.01); G01N 33/68 (2006.01); C12Q 1/6886 (2018.01); G01N 33/574 (2006.01); G01N 33/569 (2006.01);
U.S. Cl.
CPC ...
G16B 40/00 (2019.02); C12Q 1/6886 (2013.01); G01N 33/50 (2013.01); G01N 33/56977 (2013.01); G01N 33/574 (2013.01); G01N 33/6878 (2013.01); C12Q 2600/156 (2013.01); C12Q 2600/158 (2013.01);
Abstract

A method for identifying neoantigens that are likely to be presented on a surface of tumor cells of a subject. Peptide sequences of tumor neoantigens are obtained by sequencing the tumor cells of the subject. The peptide sequence of each of the neoantigens is associated with one or more k-mer blocks of a plurality of k-mer blocks of the nucleotide sequencing data of the subject; The peptide sequences and the associated k-mer blocks are input into a machine-learned presentation model to generate presentation likelihoods for the tumor neoantigens, each presentation likelihood representing the likelihood that a neoantigen is presented by an MHC allele on the surfaces of the tumor cells of the subject. A subset of the neoantigens is selected based on the presentation likelihoods.


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