Simulating the metabolic pathway dynamics of an organism
AssigneeThe Regents of the University of California
InventorsZachary Costello, Hector Garcia Martin
Life of this patent
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AssigneeThe Regents of the University of California
InventorsZachary Costello, Hector Garcia Martin
Estimating the term…
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.
A system for simulating the pathway dynamics of a virtual strain of an organism, comprising:
A method for simulating the metabolic pathway dynamics of a strain of an organism, comprising:
Dependencies are inferred from the claim text.