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The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

A semi‐empirical method for prediction of antigenic determinants on protein antigens

Kolaskar, A.S., Tongaonkar, Prasad C.·1990·FEBS Letters

Abstract

Analysis of data from experimentally determined antigenic sites on proteins has revealed that the hydrophobic residues Cys, Leu and Val, if they occur on the surface of a protein, are more likely to be a part of antigenic sites. A semi‐empirical method which makes use of physicochemical properties of amino acid residues and their frequencies of occurrence in experimentally known segmental epitopes was developed to predict antigenic determinants on proteins. Application of this method to a large number of proteins has shown that our method can predict antigenic determinants with about 75% accuracy which is better than most of the known methods. This method is based on a single parameter and thus very simple to use.

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Metadata

Authors
Kolaskar, A. S., & Tongaonkar, P. C.
Venue
FEBS Letters
Publisher
Wiley
Published
1990-12-10
Volume
276
Issue
1-2
Pages
172-174
ISSN
  • 0014-5793 (ISSN-L)
  • 1873-3468
OpenAlex
W2066609648
Cited by
1,439
References
7
FWCI
0.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A semi‐empirical method for prediction of antigenic determinants on protein antigens. https://app.cochat.ai/papers/10.1016/0014-5793(90)80535-q
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Kolaskar, A. S., & Tongaonkar, P. C. (1990). A semi‐empirical method for prediction of antigenic determinants on protein antigens. FEBS Letters. https://doi.org/10.1016/0014-5793(90)80535-q

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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.