Correlation between the location of antigenic sites and the prediction of turns in proteins

In the present study, we developed new turn scales based on the occurrence of amino acids at each of the four positions of a turn using a structural database comprised of 87 proteins. We found that the scales correctly predicted a fraction of the turn regions in proteins with approximately 80% confidence. We used the turn scales for predicting the location of antigenic sites in proteins. The method was developed with the specific aim of predicting only a few peaks for each protein (two or three). We found that it leads to a high level of accurate prediction (70% of correct prediction of known epitopes). Our method should be useful for selecting protein regions to be synthesized in order to produce anti-peptide antibodies cross-reacting with the parent protein.