Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods

Abstract

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. disease. The mutations on IL-17A gene for patients with breast cancer affect the physicochemical properties of the Interleukin-17A protein such as molecular pI, of and compared with from In addition, affected on for current study by changing and of and This affected which led to loss of host defense for with breast