Invention Grant
- Patent Title: Systems and methods for prediction of protein formulation properties
-
Application No.: US17638395Application Date: 2020-08-25
-
Publication No.: US12224045B2Publication Date: 2025-02-11
- Inventor: Cindy Ren , Mohan B. Boggara , Nitin Rathore , Behnam Partopour
- Applicant: AMGEN INC.
- Applicant Address: US CA Thousand Oaks
- Assignee: AMGEN INC.
- Current Assignee: AMGEN INC.
- Current Assignee Address: US CA Thousand Oaks
- Agency: MARSHALL, GERSTEIN & BORUN LLP
- International Application: PCT/US2020/047755 WO 20200825
- International Announcement: WO2021/041384 WO 20210304
- Main IPC: G16C20/30
- IPC: G16C20/30 ; G16C20/50 ; G16C20/70

Abstract:
In a method for predicting a property of potential protein formulations, a set of formulation descriptors is classified as belonging to a specific one of a plurality of predetermined groups that each correspond to a different value range for a protein formulation property. Classifying the set of descriptors includes applying at least a first portion of the set of descriptors as inputs to a first machine learning model. The method also includes selecting, based on the classification, a second machine learning model from among multiple models corresponding to different groups. The method also includes predicting a value of the protein formulation property that corresponds to the set of descriptors, by applying at least a second portion of the set of formulation descriptors as inputs to the selected model. The method further includes causing the value of the protein formulation property to be displayed to a user and/or stored in a memory.
Public/Granted literature
- US20220293223A1 SYSTEMS AND METHODS FOR PREDICTION OF PROTEIN FORMULATION PROPERTIES Public/Granted day:2022-09-15
Information query