公开(公告)号：US12224045B2

公开(公告)日：2025-02-11

申请号：US17638395

申请日：2020-08-25

Applicant: AMGEN INC.

Inventor： Cindy Ren ,  Mohan B. Boggara ,  Nitin Rathore ,  Behnam Partopour

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.

公开(公告)号：US20220293223A1

公开(公告)日：2022-09-15

申请号：US17638395

申请日：2020-08-25

Applicant: AMGEN INC.

Inventor： Cindy Ren ,  Mohan B. Boggara ,  Nitin Rathore ,  Behnam Partopour

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.

公开(公告)号：US20240316194A1

公开(公告)日：2024-09-26

申请号：US18574161

申请日：2022-06-29

Applicant: AMGEN INC.

Inventor： Wei Qi ,  Cindy Ren

IPC: A61K39/395 ,  A61K9/00 ,  A61K9/19 ,  A61K39/00 ,  A61K47/10 ,  A61K47/18 ,  A61K47/26 ,  C07K16/28 ,  C07K16/30

CPC classification number: A61K39/39591 ,  A61K9/0019 ,  A61K9/19 ,  A61K47/10 ,  A61K47/183 ,  A61K47/26 ,  C07K16/2809 ,  C07K16/3092 ,  A61K2039/505 ,  C07K2317/31 ,  C07K2317/94

Abstract: Described herein is a method comprising (a) reconstituting a lyophilized formulation comprising a polypeptide, a saccharide, a surfactant, and a buffer, with a diluent comprising an aromatic alcohol, a phenolic compound, or an amino acid with aromatic side chain, and (b) administering the reconstituted formulation to a subject in need thereof within 12 hours of reconstitution, wherein the polypeptide is a bispecific antibody construct, such as a bispecific antibody construct that binds human DLL3 and human CD3 and optionally comprises the amino acid sequence of SEQ ID NO: 75 and SEQ ID NO: 9.