کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
14971 1365 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Structural and functional impact of missense mutations in TPMT: An integrated computational approach
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
Structural and functional impact of missense mutations in TPMT: An integrated computational approach
چکیده انگلیسی


• Pathogenecity of TPMT mutations could be predicted by an integrative approach.
• Most of the mutations resulting in no enzyme activity are in conserved positions.
• Missense mutations have different effects on TPMT structure and function.
• Residue interaction network of approximately 85% of the alleles are different from wild type.
• Cytoscape is a robust program for visualization of residue interaction network in TPMT.

BackgroundThiopurine S-methyltransferase (TPMT) detoxifies thiopurine drugs which are used for treatment of various diseases including inflammatory bowel disease (IBD), and hematological malignancies. Individual variation in TPMT activity results from mutations in TPMT gene. In this study, the effects of all the known missense mutations in TPMT enzyme were studied at the sequence and structural levelMethodsA broad set of bioinformatic tools was used to assess all the known missense mutations affecting enzyme activity. The effects of these mutations on protein stability, aggregation propensity, and residue interaction network were analyzed.ResultsOur results indicate that the missense mutations have diverse effects on TPMT structure and function. Stability and aggregation propensities are affected by various mutations. Several mutations also affect residues in ligand binding site.ConclusionsIn vitro study of missense mutation is laborious and time-consuming. However, computational methods can be used to obtain information about effects of missense mutations on protein structure. In this study, the effects of most of the mutations on enzyme activity could be explained by computational methods. Thus, the present approach can be used for understanding the protein structure-function relationships.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Biology and Chemistry - Volume 59, Part A, December 2015, Pages 48–55
نویسندگان
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