Convolutional Neural Networks Guided Raman Spectroscopy as a Process Analytical Technology (PAT) Tool for Monitoring and Simultaneous Prediction of Monoclonal Antibody Charge Variants-Reference-Cited by-同舟云学术

Convolutional Neural Networks Guided Raman Spectroscopy as a Process Analytical Technology (PAT) Tool for Monitoring and Simultaneous Prediction of Monoclonal Antibody Charge Variants

Published:2024-02-16 Issue:3 Volume:41 Page:463-479
ISSN:0724-8741
Container-title:Pharmaceutical Research
language:en
Short-container-title:Pharm Res

Author:

Nitika Nitika,Keerthiveena B.,Thakur Garima,Rathore Anurag S.^ORCID

Funder

Department of Science and Technology India

Department of Biotechnology, Ministry of Science and Technology, India

Tata Consultancy Services

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11095-024-03663-9.pdf

Reference69 articles.

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3. Chung S, Tian J, Tan Z, et al. Industrial bioprocessing perspectives on managing therapeutic protein charge variant profiles. Biotechnol Bioeng. 2018;115(7):1646–65.

4. Dakshinamurthy P, Mukunda P, Prasad B, et al. Biologicals Charge variant analysis of proposed biosimilar to Trastuzumab. Biologicals. 2017;46:46–56.

5. Hintersteiner B, Lingg N, Zhang P, et al. Charge heterogeneity: Basic antibody charge variants with increased binding to Fc receptors. MAbs. 2016;8(8):1548–60.

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