In-silico study to identify the pathogenic single nucleotide polymorphisms in the coding region of CDKN2A gene

نویسندگان
Ghasemi, Farzaneh ID 1
Chamani, Reyhane ID 2
Zare-Zardini, Hadi ID 3
Khatami, Mehri ID 4
Heidari, Mohammad Mehdi ID 5

1 Department of Biology, Faculty of Science, Yazd University, Yazd, Iran

2 Department of Biology, Faculty of Science, Yazd University, Yazd, Iran

3 Hematology and Oncology Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

4 Department of Biology, Faculty of Science, Yazd University, Yazd, Iran

5 Department of Biology, Faculty of Science, Yazd University, Yazd, Iran

doi
10.18502/ijpho.v11i2.5844
چکیده

Background: CDKN2A, encoding two important tumor suppressor proteins p16 and p14, is a tumor suppressor gene. Mutations in this gene and subsequently the defect in p16 and p14 proteins lead to the downregulation of RB1/p53 and cancer malignancy. To identify the structural and functional effects of mutations, various powerful bioinformatics tools ...

کلیدواژه‌ها
Computational biology, CDKN2A, Gene, SNP, Tumor suppressor protein.