System, apparatus, and method for sequence-based enzyme EC number prediction by deep learning
US11756649B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 16, 2018 |
| Grant date | Sep 12, 2023 |
| Priority date | — |
| Expiry date | Aug 13, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.