این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
صفحه اصلی
درباره پایگاه
فهرست سامانه ها
الزامات سامانه ها
فهرست سازمانی
تماس با ما
JCR 2016
جستجوی مقالات
دوشنبه 24 آذر 1404
Molecular Biology Research Communications
، جلد ۹، شماره ۲، صفحات ۶۳-۶۹
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
Computational approach towards identification of pathogenic missense mutations in AMELX gene and their possible association with amelogenesis imperfecta
چکیده انگلیسی مقاله
Amelogenin gene (AMEL-X) encodes an enamel protein called amelogenin, which plays a vital role in tooth development. Any mutations in this gene or the associated pathway lead to developmental abnormalities of the tooth. The present study aims to analyze functional missense mutations in AMEL-X genes and derive an association with amelogenesis imperfecta. The information on missense mutations of human AMEL-X gene was collected from Ensembl database (https://asia.ensembl.org). Three different computational tools viz., SIFT, PolyPhen and PROVEAN were used to identify the deleterious or pathogenic forms of mutations in the gene studied. I-Mutant Suit was used to identify the stability of the proteins identified as deleterious by the three tools. Further, MutPred analysis revealed the pathogenicity of these mutations. Among 96 missense variants reported in AMEL-X gene, 18 were found to be deleterious using the three prediction tools (SIFT, PolyPhen and PROVEAN). When these variants were subjected to protein stability analysis, about 14 missense variants showed decreased stability whereas the other 8 variants showed increased stability. Further, these variants were analyzed using MutPred which identified 9 variants to be highly pathogenic. ExAC database revealed that all the pathogenic mutations had a minor allele frequency less than 0.01. The in silico analysis revealed highly pathogenic mutations in amelogenin gene which could have a putative association with amelogenesis imperfecta. These mutations should be screened in patients for early diagnosis of susceptibility to AI.
کلیدواژههای انگلیسی مقاله
نویسندگان مقاله
Narendra Shivani |
Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India
Aseervatham Selvi Smiline-Girija |
Department of Microbiology, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, 162, Poonamallee High Road, Chennai 600077, Tamil Nadu, India
Arumugam Paramasivam |
Biomedical Research Unit and Laboratory Animal Centre-Dental Research Cell, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai 600077, India
Jayaseelan Vijayashree-Priyadharsini |
Biomedical Research Unit and Laboratory Animal Centre-Dental Research Cell, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai 600077, India
نشانی اینترنتی
http://mbrc.shirazu.ac.ir/article_5648_5d261c60824dfaf6bc8022eed6711e7a.pdf
فایل مقاله
اشکال در دسترسی به فایل - ./files/site1/rds_journals/526/article-526-2428582.pdf
کد مقاله (doi)
زبان مقاله منتشر شده
en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به:
صفحه اول پایگاه
|
نسخه مرتبط
|
نشریه مرتبط
|
فهرست نشریات