Academic Journal
Frequent contiguous pattern mining over biological sequences of protein misfolded diseases
| العنوان: | Frequent contiguous pattern mining over biological sequences of protein misfolded diseases |
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| المؤلفون: | Mohammad Shahedul Islam, Md. Abul Kashem Mia, Mohammad Shamsur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Takeshi Koshiba |
| المصدر: | BMC Bioinformatics, Vol 22, Iss 1, Pp 1-28 (2021) |
| بيانات النشر: | BMC, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Biology (General) |
| مصطلحات موضوعية: | Amino acid, Association rule, Disease, Frequent pattern, Protein misfolding, Protein sequence, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1471-2105 |
| Relation: | https://doaj.org/toc/1471-2105 |
| DOI: | 10.1186/s12859-021-04341-y |
| URL الوصول: | https://doaj.org/article/8e17398c8f6a45fc8fa6510260399ebc |
| رقم الانضمام: | edsdoj.8e17398c8f6a45fc8fa6510260399ebc |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 14712105 |
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| DOI: | 10.1186/s12859-021-04341-y |