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:
Nov. 04, 2025

Filed:

Nov. 09, 2023
Applicant:

Recursion Pharmaceuticals, Inc., Salt Lake City, UT (US);

Inventors:

Seyed Ali Madani Tonekaboni, Toronto, CA;

Daniella Fiora Lato, Toronto, CA;

Stephen Scott Mackinnon, Burlington, CA;

Assignee:

Recursion Pharmaceuticals, Inc., Salt Lake City, UT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16C 20/70 (2019.01); G16B 40/20 (2019.01);
U.S. Cl.
CPC ...
G16C 20/70 (2019.02); G16B 40/20 (2019.02);
Abstract

The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilizing compound-protein machine learning representations to generate target results. For example, the disclosed systems can utilize a compound-protein interaction machine learning model to generate a compound-protein machine learning representation for compound protein pairs. The disclosed systems can utilize the compound-protein machine learning representation to train and utilize other target machine learning models in generating predicted bioactivity results. For example, the disclosed systems train a target machine learning model from compound-protein machine learning representations to generate ADMET predictions and/or biological perturbation program predictions. Furthermore, the disclosed systems can utilize one or more explainability models in conjunction with target machine learning models trained based on compound-protein machine learning representations to identify proteins that contribute to predicted bioactivity results.


Find Patent Forward Citations

Loading…