公开(公告)号：US20230148020A1

公开(公告)日：2023-05-11

申请号：US17920668

申请日：2021-04-21

Applicant: AMGEN INC.

Inventor： Or Dan ,  Roger Hart ,  Hann-Chung Wong

IPC: G01N30/86 ,  B01D15/36 ,  B01D15/34 ,  B01D15/38 ,  C07K1/16

CPC classification number: G01N30/8693 ,  G01N30/8662 ,  B01D15/362 ,  B01D15/34 ,  B01D15/3809 ,  C07K1/16

Abstract: In a method for facilitating selection of chromatography parameters for manufacturing a therapeutic protein, one or more process parameter values associated with a hypothetical chromatography process, and one or more molecular descriptors descriptive of the therapeutic protein, are received. The method also includes predicting a performance indicator for the hypothetical chromatography process at least by analyzing the one or more process parameters and the one or more molecular descriptors using a machine learning model. The machine learning model is a regression tree model, an extreme gradient boost model, or an elastic net model. The method also includes causing the predicted performance indicator, and/or an indication of whether the predicted performance indicator satisfies one or more acceptability criteria, to be presented to a user via a user interface.