SIMULATING THE METABOLIC PATHWAY DYNAMICS OF AN ORGANISM

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.

Machine learningVisionPlanningEvolutionary computationAI hardwareG16B 5/30G06F 18/24147G06N 3/09G06N 3/0985G16B 5/00G16B 40/00G16B 40/20G06N 3/086+2 more

AI classification

Machine learning1.00
Planning1.00
Evolutionary computation1.00
AI hardware0.99
Vision0.61
Knowledge representation0.21
Natural language0.14
Speech0.00

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.

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