Frequent contiguous pattern mining over biological sequences of protein misfolded diseases

Mohammad Shahedul Islam, Md Abul Kashem Mia, Mohammad Shamsur Rahman, Mohammad Shamsul Arefin*, Pranab Kumar Dhar, Takeshi Koshiba

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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. Results: In this work, we analyzed protein sequences associated with complex protein misfolded diseases (i.e. Sickle Cell Anemia, Breast Cancer, Cystic Fibrosis, Nephrogenic Diabetes Insipidus, and Retinitis Pigmentosa 4) by association rule mining technique and objective interestingness measuring tools. Experimental results show the effectiveness of our method. Conclusion: Adopting quantitative experimental methods, this work can form more reliable, useful and strong association rules i. e. dominating patterns of amino acid of complex protein misfolded diseases. Thus, in addition to usual applications, the identified patterns can be more useful in discovering medicines for protein misfolded diseases and thereby may open up new opportunities in medical science to handle genetic disorder diseases.

Original languageEnglish
Article number435
JournalBMC Bioinformatics
Volume22
Issue number1
DOIs
Publication statusPublished - 2021 Dec

Keywords

  • Amino acid
  • Association rule
  • Disease
  • Frequent pattern
  • Protein misfolding
  • Protein sequence

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Applied Mathematics

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