Breast cancer is one of the most common cancers in the world and is on the increase. Vaccines are new hopesfor primary prevention of this cancer. In the breast cancer case, HER2 is a focus as a target for vaccine development.Here, preliminary data from a computation analysis of this outer membrane protein to find potential B-cellepitopes are described using a new bioinformatics tool. According to the results, 947SRMARDPQRFVVIQNE262is the peptide with the best binding affinity. These data may be useful for further vaccine development becausepromiscuous peptide binders allow the total number of predicted epitopes to be minimized without compromisingthe population coverage required in the design of vaccines.
(2007). Predicted B-cell Epitopes of HER-2 Oncoprotein by a Bioinformatics Method: a Clue for Breast Cancer Vaccine Development. Asian Pacific Journal of Cancer Prevention, 8(1), 137-138.
MLA
. "Predicted B-cell Epitopes of HER-2 Oncoprotein by a Bioinformatics Method: a Clue for Breast Cancer Vaccine Development". Asian Pacific Journal of Cancer Prevention, 8, 1, 2007, 137-138.
HARVARD
(2007). 'Predicted B-cell Epitopes of HER-2 Oncoprotein by a Bioinformatics Method: a Clue for Breast Cancer Vaccine Development', Asian Pacific Journal of Cancer Prevention, 8(1), pp. 137-138.
VANCOUVER
Predicted B-cell Epitopes of HER-2 Oncoprotein by a Bioinformatics Method: a Clue for Breast Cancer Vaccine Development. Asian Pacific Journal of Cancer Prevention, 2007; 8(1): 137-138.
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