Invention Grant
- Patent Title: System, apparatus, and method for sequence-based enzyme EC number prediction by deep learning
-
Application No.: US16640214Application Date: 2018-10-16
-
Publication No.: US11756649B2Publication Date: 2023-09-12
- Inventor: Xin Gao , Yu Li
- Applicant: KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY
- Applicant Address: SA Thuwal
- Assignee: KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY
- Current Assignee: KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY
- Current Assignee Address: SA Thuwal
- Agency: PATENT PORTFOLIO BUILDERS PLLC
- International Application: PCT/IB2018/058015 2018.10.16
- International Announcement: WO2019/077494A 2019.04.25
- Date entered country: 2020-02-19
- Main IPC: G16B5/20
- IPC: G16B5/20 ; G06N3/044 ; G06N3/045 ; G16B20/00 ; G06N3/08 ; G16B15/20 ; G06N3/084

Abstract:
An apparatus, computer program product, and method are provided for the determination of one or more components of an EC number through the application of a level-by-level modeling approach capable of conducting feature reconstruction and classifier training simultaneously, based on encoded aspects of a sequence listing for a protein with an unknown function. The method includes receiving a sequence source data object associated with an enzyme; extracting a sequence data set from the sequence source data object; encoding the sequence data set into a first and second encoded sequence; generating a first predicted characteristic of the enzyme by applying the first and second encoded sequence to a first level of a model comprising a plurality of levels; and generating a second predicted characteristic of the enzyme by applying the first and the second encoded sequences to a second level of the model comprising a plurality of levels.
Information query