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AssigneeAdaptive Phage Therapeutics, Inc.
InventorCarl Merril
Estimating the term…
Methods and systems for pattern search and analysis to identify and select therapeutic molecules that can be used to treat bacterial infections or contaminations. Examples include methods and systems for pattern search and analysis to identify and select bacteriophage based on comparison of the genomes of a query bacterium and/or a query phage strain to a therapeutic molecule-host training set of bacterial strains and/or phage strains in which the phage strains (or other therapeutic molecules) have been shown to have the capacity to act as an antibacterial agent by either killing, replicating in, lysing and/or inhibiting the growth of the bacterial strains in the training set. Therapeutic compositions, including phage, identified using the methods described herein can then be used to treat bacterial infections in a subject and/or contamination in the environment.
A computational method for generating a therapeutic composition machine learning model, wherein the method comprises:
The method as claimed in claim 2, wherein the at least one therapeutic composition estimated to be sensitive to the bacterial genome based on the trained machine learning model comprises one or more phage, antibiotic, bactericide, therapeutic molecule or combination estimated to be sensitive to the bacterial genome based on the trained machine learning model.
A computational method for generating a therapeutic composition machine learning model, wherein the method comprises:
Dependencies are inferred from the claim text.