Frequent contiguous pattern mining over biological sequences of protein misfolded diseases.

ABSTRACT:

Background

Proteins are 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 a unique 3D shape, where a minor error may cause misfolded structure. Genetic disorder diseases i.e. Alzheimer, Parkinson, etc. arise due to misfolding in protein sequences. Thus, identifying patterns of amino acids is important for inferring protein associated genetic diseases. Recent studies in predicting amino acids patterns focused on only simple protein misfolded disease i.e. Chromaffin Tumor, by association rule mining. However, more complex diseases are yet to be attempted. Moreover, association rules obtained by these studies were not verified by usefulness measuring tools.

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SUBMITTER: Islam MS 

PROVIDER: S-EPMC8436569 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature