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Cited by 481

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Intrinsic and Extrinsic Factors in Protein Antigenic Structure

Berzofsky, Jay A.·1985·Science

Abstract

Recent advances in the preparation of synthetic peptide vaccines and the use of synthetic peptides as probes of antigenic structure and function have led to renewed interest in the prediction of antigenic sites recognized by antibodies and T cells. This review focuses on antibodies. Features intrinsic to the antigen, such as hydrophilicity and mobility, may be useful in the selection of amino acid sequences of the native protein that will elicit antibodies cross-reacting with peptides, or sequences which, as peptides, will be more likely to elicit antibodies cross-reactive with the native protein. Structural mobility may also contribute to protein-protein interactions in general. However, the entire accessible surface of a protein is likely to be detectable by a large enough panel of antibodies. Which of these antibodies are made in any individual depends on factors extrinsic to the antigen molecule, host factors such as self-tolerance, immune response genes, idiotype networks, and the immunoglobulin structural gene repertoire.

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Metadata

Authors
Berzofsky, J. A.
Venue
Science
Published
1985-09-06
Volume
229
Issue
4717
Pages
932-940
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2081217040
Cited by
481
References
49
FWCI
19.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Intrinsic and Extrinsic Factors in Protein Antigenic Structure. https://app.cochat.ai/papers/10.1126/science.2410982
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Berzofsky, J. A. (1985). Intrinsic and Extrinsic Factors in Protein Antigenic Structure. Science. https://doi.org/10.1126/science.2410982

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.