Prediction of three dimensional structure of Kruppel-like factor 14 protein

Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
View: 908

متن کامل این Paper منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل Paper (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دریافت نمایند.

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

CIGS13_0477

تاریخ نمایه سازی: 7 بهمن 1393

Abstract:

KLF14 (Kruppel-like factor 14) is a member of the Kruppel-like family of transcription factors. KLF14 acts as a master trans-regulator of adipose gene expression. It is located on 7q32.3 and is an intronless gene. Many GWAs have paid attention to this gene since 2010, due to its important participation in metabolic disease.Aim: Crystallography studies have not been accomplished for it yet. So in This study we attempted to predict 3D structure ofKLF14 protein via in silico approaches. Material method: Protein sequence served as a query for BLAST search against Protein Database. This study was conducted to develop 3Dmodels of KLF14 by invoking various in silico methods such as homology modeling, threading, and combination of them aswell as ab initio including; I-TASSER, LOMETS, LOOP, MODELLER, PHYRE2, (PS)2-v2, ESyPred3D, SPARKS-X Software. Result: By comparing and analyzing the Qmean and z-score, energy level and Ramachadran plot, we selected 5 best structures with the highest favored region in Ramachadran plot (higher than 96.9%) and refine them with MODREFINER software. The best 3D structure was predict by SPARKS-X employing threading algorithm with 99.4% amino acids in favored region. Conclusion: Based on the importance of this gene in several multifactorial diseases and also because of the unique characteristics of the gene which amplify the effect of even single nucleotide changes in all parts of the gene, the results of our study can be a guide for future functional analysis studies.

Authors

Ensieh Shahvazian

Yazd Medical University of Shahid Sadoghi, International Campus, Genetic department

Mohammad bagher Mahmoudi

Yazd Medical University of Shahid Sadoghi, Genetic department

Masoud Mirzaei

Yazd Medical University of Shahid Sadoghi, Epidemiology department

Ehsan Farashahi Yazd

Yazd Medical University of Shahid Sadoghi, Genetic department