The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 89-717
Full Name: Jafar Razmara
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: U3B-501, Kolej Perdana, UTM, Skudai, Johor Bahru
Country: MALAYSIA
Tel: 0177202754
Tel prefix: 0060
Fax:
E-mail address: razmaraj@gmail.com
Other E-mails: razmaraj2000@yahoo.com
Title of the Paper: A novel text modeling approach for structural comparison and alignment of biomolecules
Authors as they appear in the Paper: Jafar Razmara, Safaai B. Deris
Email addresses of all the authors: razmaraj@gmail.com, safaai@utm.my
Number of paper pages: 11
Abstract: Within this paper, a novel strategy for structural alignment of proteins based on text modeling techniques is introduced. The method summarizes the protein secondary and tertiary structure in two textual sequences. The first sequence is used to initial superposition of secondary structure elements and the second sequence is employed to align the 3D-structure of two compared structures. The comparison technique used by the method has been inspired from computational linguistics for analysing and quantifying textual sequences. In this strategy, the cross-entropy measure over n-gram models is used to capture regularities between sequences of protein structures. The performance of the method is evaluated and compared with CE and SSM methods. The results of the experiments reported here provide evidence for the preference and applicability of the new approach in terms of efficiency and effectiveness.
Keywords: protein structure alignment, n-gram modeling, cross-entropy
EXTENSION of the file: .pdf
Special (Invited) Session: Structural alignment of biomolecules by text modeling techniques
Organizer of the Session: 642-403
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