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Cited by 529

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Analytical tools for characterizing biopharmaceuticals and the implications for biosimilars

Open access
Berkowitz, Steven A., Engen, John R., Mazzeo, Jeffrey R., Jones, Graham B.·2012·Nature Reviews Drug Discovery

Abstract

Biologics such as monoclonal antibodies are much more complex than small-molecule drugs, which raises challenging questions for the development and regulatory evaluation of follow-on versions of such biopharmaceutical products (also known as biosimilars) and their clinical use once patent protection for the pioneering biologic has expired. With the recent introduction of regulatory pathways for follow-on versions of complex biologics, the role of analytical technologies in comparing biosimilars with the corresponding reference product is attracting substantial interest in establishing the development requirements for biosimilars. Here, we discuss the current state of the art in analytical technologies to assess three characteristics of protein biopharmaceuticals that regulatory authorities have identified as being important in development strategies for biosimilars: post-translational modifications, three-dimensional structures and protein aggregation.

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Metadata

Authors
Berkowitz, S. A., Engen, J. R., Mazzeo, J. R., & Jones, G. B.
Venue
Nature Reviews Drug Discovery
Published
2012-06-29
Volume
11
Issue
7
Pages
527-540
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W1971014721
Cited by
529
References
10
FWCI
2.77
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Analytical tools for characterizing biopharmaceuticals and the implications for biosimilars. https://app.cochat.ai/papers/10.1038/nrd3746
The paper
Berkowitz, S. A., Engen, J. R., Mazzeo, J. R., & Jones, G. B. (2012). Analytical tools for characterizing biopharmaceuticals and the implications for biosimilars. Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd3746

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.