Literature DB >> 2446525

Computer prediction of potential immunogenic determinants from protein amino acid sequence.

V Krchnák1, O Mach, A Malý.   

Abstract

In proteins, immunogenic determinants that can induce protein-reactive antipeptide antibodies reside mostly in those parts of the molecule that have a high tendency to form beta-turns. A program for an IBM personal computer which predicts protein immunogenic determinants is described. The program predicts potential immunogenic determinants from protein amino acid sequences according to a Chou-Fasman-based probability of a beta-turn occurrence, p greater than 1.5 X 10(-4)(P. Y. Chou and G. D. Fasman, 1978, Adv. Enzymol. 47, 46-148). Oncopeptides (whose efficacy in generating protein-reactive antipeptide antibodies has been described) with a beta-turn probability of p greater than 1.5 X 10(-4) elicited antipeptide antibodies that reacted with the parent oncoprotein at a rate of 96%, thus showing a surprisingly good correlation between the tendency to form a beta-turn and the protein reactivity of antipeptide antibodies. Potential immunogenic determinants were predicted on myohemerythrin and myoglobin.

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Year:  1987        PMID: 2446525     DOI: 10.1016/0003-2697(87)90220-x

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  3 in total

1.  Identification by sequence analysis of two-site posttranslational processing of the cysteine-rich outer membrane protein 2 of Chlamydia trachomatis serovar L2.

Authors:  J E Allen; R S Stephens
Journal:  J Bacteriol       Date:  1989-01       Impact factor: 3.490

2.  Mapping antigenic sites on the major outer membrane protein of Chlamydia trachomatis with synthetic peptides.

Authors:  G M Zhong; R E Reid; R C Brunham
Journal:  Infect Immun       Date:  1990-05       Impact factor: 3.441

3.  NetTurnP--neural network prediction of beta-turns by use of evolutionary information and predicted protein sequence features.

Authors:  Bent Petersen; Claus Lundegaard; Thomas Nordahl Petersen
Journal:  PLoS One       Date:  2010-11-30       Impact factor: 3.240

  3 in total

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