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:
Jun. 23, 2026

Filed:

Dec. 24, 2024
Applicant:

Insitro, Inc., South San Francisco, CA (US);

Inventors:

Benson Chen, Palo Alto, CA (US);

Mohammad Muneeb Sultan, San Francisco, CA (US);

Theofanis Karaletsos, San Francisco, CA (US);

Assignee:

Insitro, Inc., South San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/48 (2006.01); G01N 33/50 (2006.01); G06N 20/00 (2019.01); G16B 15/30 (2019.01); G16C 20/10 (2019.01);
U.S. Cl.
CPC ...
G16B 15/30 (2019.02); G06N 20/00 (2019.01); G16C 20/10 (2019.02);
Abstract

Embodiments of the disclosure involve modeling DEL data using factorized molecular representations (e.g., hierarchical mono-synthon and di-synthon building blocks), which capitalizes on the inherent hierarchical structure of these molecules. Using the factorized molecular representations, machine learning models are trained to learn latent binding affinity of compounds for targets and one or more covariates (e.g., load/replicate noise). This leads to improved predictions by the machine learning models in the form of higher enrichment scores, which are well-correlated with compound-target binding affinity.


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