Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods
In the current study, bioinformatics approach has been utilized to discover the sequences and structures analysis of IL-17A of breast cancer and compares with normal sequence from NCBI. The current study was aimed to discuss the possibility of using IL-17A as a marker for patients with breast cancer...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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University of Technology, Baghdad
2022-06-01
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| Series: | Journal of Applied Sciences and Nanotechnology |
| Subjects: | |
| Online Access: | https://jasn.uotechnology.edu.iq/article_17834_85cb267bfb40e11b1d952c8560f81965.pdf |
| _version_ | 1818239117954121728 |
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| author | Abdalrahman Mohammed Abbas Al-Janabi |
| author_facet | Abdalrahman Mohammed Abbas Al-Janabi |
| author_sort | Abdalrahman Mohammed |
| collection | DOAJ |
| description | In the current study, bioinformatics approach has been utilized to discover the sequences and structures analysis of IL-17A of breast cancer and compares with normal sequence from NCBI. The current study was aimed to discuss the possibility of using IL-17A as a marker for patients with breast cancer. Also, the effect of mutation on the physicochemical properties and structure of IL-17A. Sixty blood samples were examined from patients with breast cancer (aged between 20 and 75 years old). In patients with breast cancer, there were missense mutations and deletion mutations detected by BLAST. Furthermore, the current study determined the physicochemical properties of IL-17A, such as their hydrophilic nature; alpha–helical structure, and 3D structure. The results of this study show that IL-17A consider as a marker for the patient with breast cancer. Also, the mutations on IL-17A gene affected the structure and physicochemical properties of the Interleukin-17A protein complex. |
| first_indexed | 2024-12-12T12:52:27Z |
| format | Article |
| id | doaj.art-014a2d870ed3485ea5a3cb45df88854b |
| institution | Directory Open Access Journal |
| issn | 2788-6867 |
| language | English |
| last_indexed | 2024-12-12T12:52:27Z |
| publishDate | 2022-06-01 |
| publisher | University of Technology, Baghdad |
| record_format | Article |
| series | Journal of Applied Sciences and Nanotechnology |
| spelling | doaj.art-014a2d870ed3485ea5a3cb45df88854b2022-12-22T00:23:58ZengUniversity of Technology, BaghdadJournal of Applied Sciences and Nanotechnology2788-68672022-06-0122798510.53293/jasn.2021.3878.105217834Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics MethodsAbdalrahman Mohammed0Abbas Al-Janabi1Biotechnology Division, Department of Applied Sciences, University of Technology – IraqBiotechnology Division, Department of Applied Sciences, University of Technology – IraqIn the current study, bioinformatics approach has been utilized to discover the sequences and structures analysis of IL-17A of breast cancer and compares with normal sequence from NCBI. The current study was aimed to discuss the possibility of using IL-17A as a marker for patients with breast cancer. Also, the effect of mutation on the physicochemical properties and structure of IL-17A. Sixty blood samples were examined from patients with breast cancer (aged between 20 and 75 years old). In patients with breast cancer, there were missense mutations and deletion mutations detected by BLAST. Furthermore, the current study determined the physicochemical properties of IL-17A, such as their hydrophilic nature; alpha–helical structure, and 3D structure. The results of this study show that IL-17A consider as a marker for the patient with breast cancer. Also, the mutations on IL-17A gene affected the structure and physicochemical properties of the Interleukin-17A protein complex.https://jasn.uotechnology.edu.iq/article_17834_85cb267bfb40e11b1d952c8560f81965.pdfil-17abioinformaticsbreast cancer |
| spellingShingle | Abdalrahman Mohammed Abbas Al-Janabi Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods Journal of Applied Sciences and Nanotechnology il-17a bioinformatics breast cancer |
| title | Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods |
| title_full | Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods |
| title_fullStr | Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods |
| title_full_unstemmed | Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods |
| title_short | Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods |
| title_sort | computational analysis of interleukin 17a activity in breast cancer patients using bioinformatics methods |
| topic | il-17a bioinformatics breast cancer |
| url | https://jasn.uotechnology.edu.iq/article_17834_85cb267bfb40e11b1d952c8560f81965.pdf |
| work_keys_str_mv | AT abdalrahmanmohammed computationalanalysisofinterleukin17aactivityinbreastcancerpatientsusingbioinformaticsmethods AT abbasaljanabi computationalanalysisofinterleukin17aactivityinbreastcancerpatientsusingbioinformaticsmethods |