Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1995-5-4
pubmed:abstractText
In a recent review, Hopp (Peptide Research 6:183-190, 1993) claimed that the Hopp and Woods hydrophilicity method for locating antigenic determinants is superior to all other existing methods for predicting the B cell epitopes of proteins but that it is not useful to aid the investigator in producing peptide-protein cross-reactive antisera. In this article, we challenge both these assertions. Most investigators utilize antigenicity prediction algorithms because they wish to produce anti-peptide antibodies capable of cross-reacting with the intact protein. All prediction methods are based on propensity scales for the 20 amino acids, which describe the tendency of each residue to be associated with properties such as hydrophilicity, surface accessibility or segmental mobility. When we compared the prediction efficacy of 22 different scales, taking into account both correct and incorrect predictions, we found that none of the scales gave a level of correct prediction higher than about 50%-60%. If no antigenicity was found in a particular region of the protein, we took the view that hydrophilicity peaks located in that region amounted to wrong predictions. The much higher success rate reported by Hopp for this method stems from the way he assesses prediction efficacy, i.e., by counting the number of known epitopes located inside and outside hydrophilicity peaks. Reasons for the low success rate of antigenicity prediction are discussed. In most cases, it is unrealistic to try to reduce the complexity of discontinuous, conformational epitopes to simple, linear peptide models.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1040-5704
pubmed:author
pubmed:issnType
Print
pubmed:volume
7
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
224-8
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:articleTitle
Predicting antigenic determinants in proteins: looking for unidimensional solutions to a three-dimensional problem?
pubmed:affiliation
Institut de Biologie Moléculaire et Cellulaire, CNRS, Strasbourg, France.
pubmed:publicationType
Journal Article, Comparative Study