公开(公告)号：US11929152B1

公开(公告)日：2024-03-12

申请号：US16896877

申请日：2020-06-09

Applicant: Amazon Technologies, Inc.

Inventor： Alexander Sewall Ford ,  Zachary Wu ,  Layne Christopher Price ,  Franziska Seeger ,  Yen Ling Adelene Sim

IPC: G01N33/48 ,  G06N3/044 ,  G16B5/20 ,  G16B15/00 ,  G16B40/00

CPC classification number: G16B40/00 ,  G06N3/044 ,  G16B5/20 ,  G16B15/00

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.