Work

Linear and neural network models for predicting N-glycosylation in Chinese Hamster Ovary cells based on B4GALT levels

Year: 2024

Type: article

Source: Computers & Chemical Engineering

DOI: 10.1016/j.compchemeng.2024.108937

Authors: Pedro Seber, Richard D. Braatz

Institution: Massachusetts Institute of Technology

Language: English

Topic: Glycosylation and Glycoproteins Research

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: U.S. Department of Commerce, National Institute of Standards and Technology, National Institute for Innovation in Manufacturing Biopharmaceuticals

Awards: G119483429, NIIMBL RESPONDS TO THE COVID-19 PANDEMIC #1, G3567290435, G3958822760, G5543326261, THE NATIONAL INSTITUTE FOR INNOVATION IN MANUFACTURING BIOPHARMACEUTICALS (NIIMBL)

OpenAlex ID: W4404645810

FWCI: 0.273

Cites: 40

Cited by: 3

Related to: 10