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. 12, 2024

Filed:

Jun. 09, 2020
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Alexander Sewall Ford, Seattle, WA (US);

Zachary Wu, College Station, TX (US);

Layne Christopher Price, Seattle, WA (US);

Franziska Seeger, Seattle, WA (US);

Yen Ling Adelene Sim, Seattle, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/48 (2006.01); G06N 3/044 (2023.01); G16B 5/20 (2019.01); G16B 15/00 (2019.01); G16B 40/00 (2019.01);
U.S. Cl.
CPC ...
G16B 40/00 (2019.02); G06N 3/044 (2023.01); G16B 5/20 (2019.02); G16B 15/00 (2019.02);
Abstract

Techniques for predicting a pair of an enzyme primary sequence and a substrate, and interaction probability for the pair are described. An exemplary method includes receiving a request to predict a pair of an enzyme primary sequence and a substrate, and interaction probability for the pair; combining an enzyme vector, a substrate vector, and an interaction indication for the enzyme and substrate to form a machine learning model input; applying a machine learning model to the machine learning model input to predict the pair of an enzyme primary sequence and a substrate, and interaction probability for the pair; and outputting a result of the application of the machine learning model including the predicted pair of an enzyme primary sequence and a substrate, and interaction probability for the pair.


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