The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 13, 2024

Filed:

Jun. 15, 2022
Applicant:

Flagship Pioneering Innovations Vi, Llc, Cambridge, MA (US);

Inventors:

Fabian Alexander Wolf, Munich, DE;

Ragy Haddad, Cambridge, MA (US);

Nicholas McCartney Plugis, Cambridge, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
C12N 5/0789 (2010.01); A61K 35/12 (2015.01); A61K 35/28 (2015.01); G16C 20/30 (2019.01); G16C 20/70 (2019.01);
U.S. Cl.
CPC ...
C12N 5/0647 (2013.01); A61K 35/28 (2013.01); G16C 20/30 (2019.02); G16C 20/70 (2019.02); A61K 2035/124 (2013.01); C12N 2501/125 (2013.01);
Abstract

Systems and methods for associating a compound with physiological conditions are provided. A fingerprint of a compound chemical structure is obtained and inputted to a model that outputs one or more calculated activation scores. Each activation score represents a cellular constituent module in a set of modules, where each module includes a subset of cellular constituents and a first module in the set of modules is associated with the physiological condition. When the activation score for the first module satisfies a threshold criterion, the compound is identified as associated with the physiological condition. In some aspects, each activation score represents a perturbation signature associated with the physiological condition and the compound is identified when the activation score for a first perturbation signature satisfies a threshold criterion. Systems and methods for training a model that associates compounds with physiological conditions are also provided.


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