Patent №
US 11,636,917
Granted
2023-04-25
Filed 2018
Owner
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
AI components
5
ml · vision · planning · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
16022113
Disclosed herein are systems and methods for determining metabolic pathway dynamics using time series multiomics data. In one example, after receiving time series multiomics data comprising time-series metabolomics data associated a metabolic pathway and time-series proteomics data associated with the metabolic pathway, derivatives of the time series multiomics data can be determined. A machine learning model, representing a metabolic pathway dynamics model, can be trained using the time series multiomics data and the derivatives of the time series multiomics data, wherein the metabolic pathway dynamics model relates the time-series metabolomics data and time-series proteomics data to the derivatives of the time series multiomics data. The method can include simulating a virtual strain of the organism using the metabolic pathway dynamics model.
AI classification
Ownership
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
assignment · 464120985
Assignors
COSTELLO, ZACHARY, MARTIN, HECTOR GARCIA
On an employer assignment, the assignors are typically the inventors.