• Aug 09, 2018 News![CFP] The annual meeting of IJFCC Editorial Board, ICCTD 2019, will be held in Prague, Czech Republic during March 2-4, 2019.   [Click]
  • Aug 09, 2018 News!IJFCC Vol. 6, No. 1-No. 3 has been indexed by EI (Inspec).   [Click]
  • Dec 24, 2018 News!The papers published in Vol.7, No.1-No.2 have all received dois from Crossref.
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2015 Vol.4(2): 143-146 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2015.V4.373

A Method for Multiple Structural Alignment of Proteins Using Text Modeling Techniques

Jafar Razmara
Abstract—Here, an efficient method is introduced for multiple structural alignment of proteins. The method encodes geometry of protein secondary and tertiary structures in linear sequences and then uses a hierarchical procedure for superposition of proteins based on these sequences. To capture similarities between secondary structure sequences, the method utilizes n-gram modeling technique over entropy concept adopted from computational linguistics. Moreover, a step-by-step algorithm is used to align relative residue position sequences in tertiary structure level. A number of case studies are presented here to demonstrate the power of the method comparing with other structure alignment tools. The results provide evidence for efficiency and applicability of the proposed method.

Index Terms—Multiple structure alignment, linear encoding methods, text modeling.

J. Razmara is with the Department of Computer Sciences, Faculty of Mathematical Sciences, University of Tabriz, Tabriz, Iran (e-mail: razmara@tabrizu.ac.ir).


Cite: Jafar Razmara, "A Method for Multiple Structural Alignment of Proteins Using Text Modeling Techniques," International Journal of Future Computer and Communication vol. 4, no. 2, pp. 143-146, 2015.

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