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Frequent contiguous pattern mining over biological sequences of protein misfolded diseases
Mohammad Shahedul Islam1, Md Abul Kashem Mia2, Mohammad Shamsur Rahman3
1Information Communication Technology Centre, Bangabandhu Sheikh Mujibur Rahman Maritime University, Pallabi, Mirpur-12, Dhaka, Bangladesh.
BMC Bioinformatics
|September 13, 2021
Summary
This study identifies amino acid patterns in complex protein misfolding diseases using association rule mining. The findings offer reliable rules for discovering new medicines for genetic disorders.
Area of Science:
- Bioinformatics
- Computational Biology
- Genetics
Background:
- Proteins, essential for life, fold into specific 3D structures; errors cause misfolded proteins linked to genetic diseases like Alzheimer's and Parkinson's.
- Identifying amino acid patterns is crucial for understanding protein misfolding diseases.
- Previous studies focused on simple diseases, leaving complex conditions unaddressed and lacking validation.
Purpose of the Study:
- To analyze amino acid patterns in complex protein misfolding diseases using association rule mining.
- To apply objective interestingness measures for validating association rules.
- To identify reliable and useful patterns for potential therapeutic applications.
Main Methods:
- Association rule mining technique applied to protein sequences.
- Analysis of diseases including Sickle Cell Anemia, Breast Cancer, Cystic Fibrosis, Nephrogenic Diabetes Insipidus, and Retinitis Pigmentosa 4.
- Utilized objective interestingness measuring tools for rule validation.
Main Results:
- Successfully identified significant amino acid patterns associated with complex protein misfolding diseases.
- Demonstrated the effectiveness of the association rule mining method in this context.
- Generated reliable and useful association rules, referred to as dominating patterns.
Conclusions:
- The quantitative approach yields more dependable and strong association rules for complex protein misfolding diseases.
- Identified patterns can aid in drug discovery for protein misfolding conditions.
- Opens new avenues in medical science for managing genetic disorder diseases.
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