Literature DB >> 2411595

Prediction of sequential antigenic regions in proteins.

G W Welling, W J Weijer, R van der Zee, S Welling-Wester.   

Abstract

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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Year:  1985        PMID: 2411595     DOI: 10.1016/0014-5793(85)80374-4

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  75 in total

1.  High-throughput prediction of protein antigenicity using protein microarray data.

Authors:  Christophe N Magnan; Michael Zeller; Matthew A Kayala; Adam Vigil; Arlo Randall; Philip L Felgner; Pierre Baldi
Journal:  Bioinformatics       Date:  2010-10-07       Impact factor: 6.937

2.  Antibodies against amino acids 1-15 of tumor necrosis factor block its binding to cell-surface receptor.

Authors:  S H Socher; M W Riemen; D Martinez; A Friedman; J Tai; J C Quintero; V Garsky; A Oliff
Journal:  Proc Natl Acad Sci U S A       Date:  1987-12       Impact factor: 11.205

3.  Determination of intrinsic hydrophilicity/hydrophobicity of amino acid side chains in peptides in the absence of nearest-neighbor or conformational effects.

Authors:  James M Kovacs; Colin T Mant; Robert S Hodges
Journal:  Biopolymers       Date:  2006       Impact factor: 2.505

4.  Effect of variations in peptide sequence on anti-human milk fat globule membrane antibody reactions.

Authors:  P X Xing; K Reynolds; G A Pietersz; I F McKenzie
Journal:  Immunology       Date:  1991-02       Impact factor: 7.397

5.  A reinforced merging methodology for mapping unique peptide motifs in members of protein families.

Authors:  Hao-Teng Chang; Tun-Wen Pai; Tan-chi Fan; Bo-Han Su; Pei-Chih Wu; Chuan-Yi Tang; Chun-Tien Chang; Shi-Hwei Liu; Margaret Dah-Tsyr Chang
Journal:  BMC Bioinformatics       Date:  2006-01-25       Impact factor: 3.169

6.  Rat muscle acylphosphatase: purification, amino sequence, and immunological characterization.

Authors:  A Berti; E Tremori; L Pazzagli; D Degl'Innocenti; G Camici; G Cappugi; G Manao; G Ramponi
Journal:  J Protein Chem       Date:  1991-02

7.  Amelogenin antigenic domain defined by clonal epitope selection.

Authors:  E C Lau; C C Bessem; H C Slavkin; M Zeichner-David; M L Snead
Journal:  Calcif Tissue Int       Date:  1987-04       Impact factor: 4.333

8.  Neutralizing epitope mapping of six beta1-bungarotoxin monoclonal antibodies and its application in beta1-bungarotoxin peptide vaccine design.

Authors:  C C Yang; H L Chan
Journal:  Biochem J       Date:  1998-02-15       Impact factor: 3.857

9.  Energy-generating enzymes of Burkholderia cepacia and their interactions with macrophages.

Authors:  Vasu Punj; Rachna Sharma; Olga Zaborina; A M Chakrabarty
Journal:  J Bacteriol       Date:  2003-05       Impact factor: 3.490

10.  Glutamic acid decarboxylase-derived epitopes with specific domains expand CD4(+)CD25(+) regulatory T cells.

Authors:  Guojiang Chen; Gencheng Han; Jiannan Feng; Jianan Wang; Renxi Wang; Ruonan Xu; Beifen Shen; Jiahua Qian; Yan Li
Journal:  PLoS One       Date:  2009-09-13       Impact factor: 3.240

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