[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 9, Issue 2 (3-2016) ::
J. of Stat. Sci. 2016, 9(2): 253-267 Back to browse issues page
Bayesian Models in Proteins Alignment
S. Morteza Najibi , Mousa Golalizadeh , Mohammad Reza Faghihi
Abstract:   (6414 Views)
In this paper, we study the applicability of probabilistic solutions for the alignment of tertiary structure of proteins and discuss its difference with the deterministic algorithms. For this purpose, we introduce two Bayesian models and address a solution to add amino acid sequence and type (primary structure) to protein alignment. Furthermore, we will study the parameter estimation with Markov Chain Monte Carlo sampling from the posterior distribution. Finally, in order to see the effectiveness of these methods in the protein alignment, we have compared the parameter estimations in a real data set.
Keywords: Statistical shape analysis, Size-and-shape distance, Bioinformatics, Structural alignment of protein, Tertiary structure of protein, Bayesian inference
Full-Text [PDF 1048 kb]   (1370 Downloads)    
Type of Study: Applied | Subject: Applied Statistics
Received: 2014/12/23 | Accepted: 2015/06/22 | Published: 2015/06/22
Send email to the article author

Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Najibi S M, Golalizadeh M, Faghihi M R. Bayesian Models in Proteins Alignment. J. of Stat. Sci.. 2016; 9 (2) :253-267
URL: http://jss.irstat.ir/article-1-342-en.html

Volume 9, Issue 2 (3-2016) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences
Persian site map - English site map - Created in 0.05 seconds with 32 queries by YEKTAWEB 3855