公开(公告)号：US11923044B1

公开(公告)日：2024-03-05

申请号：US16896907

申请日：2020-06-09

Applicant: Amazon Technologies, Inc.

Inventor： Alexander Sewall Ford ,  Vanessa Nguyen ,  Layne Christopher Price ,  Franziska Seeger ,  Yen Ling Adelene Sim

IPC: G16B15/00 ,  G16B30/20 ,  G16B40/00

CPC classification number: G16B15/00 ,  G16B30/20 ,  G16B40/00

Abstract: Techniques for predicting a protein sequence are described. An exemplary method includes receiving a request to predict a missing area of a protein's primary sequence and a corresponding three-dimensional position of the missing area; applying a machine learning model to backbone Cartesian coordinates of the protein's primary sequence and a protein vector of a representation of the protein's primary sequence including the missing area to predict a missing area of the protein primary sequence and a corresponding three-dimensional position for the missing area, wherein the machine learning model is selected from the group consisting of: an attention-based machine learning model, a bidirectional long short term memory-based model, and a convolutional neural network-based model; and outputting a result of the machine learning model.