Abstract: “Proteins are the integral part of all living beings, which are building blocks of many amino acids. To be functionally active, amino acids chain folds up in a complex way to give each protein an unique 3D shape, where a minor error may cause misfolded structure. Neurodegenerative diseases e.g. Alzheimer, Parkinson, Sickle cell anemia, etc. arise due to misfolding in protein sequences. Thus, identifying the patterns of the amino acids is important for inferring the protein associated genetic diseases. Recent studies in predicting patterns of amino acids focused on only the simple chronic neurodegenerative disease Chromaffin Tumor by applying association rule mining. However, more complex diseases are yet to be attempted. Moreover, the association rules obtained by these studies were not verified by usefulness measuring tools. In this paper, we have analyzed the protein sequences associated with more complex neurodegenerative protein misfolded diseases by association rule mining techniqu”

Keywords: amino acid, association rule, disease, frequent pattern, protein misfolding, protein sequence.