The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Prediction of sequential antigenic regions in proteins
Open accessAbstract
Prediction of antigenic regions in a protein will be helpful for a rational approach to the synthesis of peptides which may elicit antibodies reactive with the intact protein. Earlier methods are based on the assumption that antigenic regions are primarily hydrophilic regions at the surface of the protein molecule. The method presented here is based on the amino acid composition of known antigenic regions in 20 proteins which is compared with that of 314 proteins [(1978) Atlas of Protein Sequence and Structure, vol. 5, suppl. 3, 363‐373]. Antigenicity values were derived from the differences between the two data sets. The method was applied to bovine ribonuclease, the B‐subunit of cholera toxin and herpes simplex virus type 1 glycoprotein D. There was a good correlation between the predicted regions and previously determined antigenic regions.
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Cites
A simple method for displaying the hydropathic character of a protein
Kyte, J., & Doolittle, R. F. (1982) · Journal of Molecular Biology · doi:10.1016/0022-2836(82)90515-0 · Cited by 22,843
Prediction of protein antigenic determinants from amino acid sequences.
Hopp, T. P., & Woods, K. R. (1981) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.78.6.3824 · Cited by 3,705
Atlas of Protein Sequence and Structure, 1972.
Fitch, W. M., & Dayhoff, M. O. (1973) · Systematic Zoology · doi:10.2307/2412105 · Cited by 2,436
Bittle, J. L., Houghten, R. A., Alexander, H., Shinnick, T. M., Sutcliffe, J. G., Lerner, R. A., Rowlands, D. J., & Brown, F. (1982) · Nature · doi:10.1038/298030a0 · Cited by 820
Correlation between segmental mobility and the location of antigenic determinants in proteins
Westhof, E., Altschuh, D., Moras, D., Bloomer, A. C., Mondragon, A., Klug, A., & Van Regenmortel, M. H. V. (1984) · Nature · doi:10.1038/311123a0 · Cited by 586
Molecular mechanisms of variation in influenza viruses
Webster, R. G., Laver, W. G., Air, G. M., & Schild, G. C. (1982) · Nature · doi:10.1038/296115a0 · Cited by 505
Tapping the immunological repertoire to produce antibodies of predetermined specificity
Lerner, R. A. (1982) · Nature · doi:10.1038/299592a0 · Cited by 460
Antibodies against a preselected peptide recognize and neutralize foot and mouth disease virus.
Pfaff, E., Mussgay, M., Böhm, H. O., Schulz, G. E., & Schaller, H. (1982) · The EMBO Journal · doi:10.1002/j.1460-2075.1982.tb01262.x · Cited by 361
Priming for and induction of anti-poliovirus neutralizing antibodies by synthetic peptides
Emini, E. A., Jameson, B. A., & Wimmer, E. (1983) · Nature · doi:10.1038/304699a0 · Cited by 237
Cohen, G. H., Dietzschold, B., Ponce de Leon, M., Long, D., Golub, E., Varrichio, A., Pereira, L., & Eisenberg, R. J. (1984) · Journal of Virology · doi:10.1128/jvi.49.1.102-108.1984 · Cited by 188
Cited by
Molecular and Biochemical Characterization of Lecithin Retinol Acyltransferase
Ruiz, A., Winston, A., Lim, Y.-H., Gilbert, B. A., Rando, R. R., & Bok, D. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.6.3834 · Cited by 265
Ryan, B. J., Nissim, A., & Winyard, P. G. (2014) · Redox Biology · doi:10.1016/j.redox.2014.05.004 · Cited by 119
Secretion of islet amyloid polypeptide in response to glucose
Kanatsuka, A., Makino, H., Ohsawa, H., Tokuyama, Y., Yamaguchi, T., Yoshida, S., & Adachi, M. (1989) · FEBS Letters · doi:10.1016/0014-5793(89)81527-3 · Cited by 107
Identification of discontinuous antigenic determinants on proteins based on shape complementarities
Rapberger, R., Lukas, A., & Mayer, B. (2007) · Journal of Molecular Recognition · doi:10.1002/jmr.819 · Cited by 31
Metadata
- Authors
- Welling, G. W., Weijer, W. J., van der Zee, R., & Welling-Wester, S.
- Venue
- FEBS Letters
- Publisher
- Wiley
- Published
- 1985-09-02
- Volume
- 188
- Issue
- 2
- Pages
- 215-218
- ISSN
- 0014-5793 (ISSN-L)
- 1873-3468
- OpenAlex
- W2068997255
- Cited by
- 353
- References
- 12
- FWCI
- 4.67
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Welling, G. W., Weijer, W. J., van der Zee, R., & Welling-Wester, S. (1985). Prediction of sequential antigenic regions in proteins. FEBS Letters. https://doi.org/10.1016/0014-5793(85)80374-4
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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