Predicting epitopes for Alzheimer's disease using bioinformatics tools

Alzheimer's disease (AD) is an old age neurodegenerative disease and still needs to find a cure. Pathogenic proteins involved in AD disease progression are most promising targets to treat Alzheimer's disease. Epitopes of these pathogenic proteins can be targeted with exogenous antibodies, or passive immunotherapy to control the AD. Therefore, study of novel epitopes regions in the pathogenic protein helps in developing new therapies and accurate diagnosis. Here, we use bioinformatic approaches to identify novel epitopes regions in pathogenic proteins of AD. Finally, we will validate the newly identified epitope regions (peptides), which generate a potential peptide region to be used as drug targets and biomarkers for AD diagnosis.