A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition

Sharma, Alokanand and Lyons, James and Dehzangi, Abdollah and Paliwal, K.K. (2013) A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition. Journal of Theoretical Biology, 320 . pp. 41-46. ISSN 0022-5193

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Abstract

Discovering a three dimensional structure of a protein is a challenging task in biological science. Classifying a protein into one of its folds is an intermediate step for deciphering the three dimensional protein structure. The protein fold recognition can be done by developing feature extraction techniques to accurately extract all the relevant information from a protein sequence and then by employing a suitable classifier to label an unknown protein. Several feature extraction techniques have been developed in the past but with limited recognition accuracy only. In this work, we have developed a feature extraction technique which is based on bi-grams computed directly from Position Specific Scoring Matrices and demonstrated its effectiveness on a benchmark dataset. The proposed technique exhibits an absolute improvement of around 10% compared with existing feature extraction techniques.

Item Type:	Journal Article
Additional Information:	Supports Open Access
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User:	Alokanand Sharma
Date Deposited:	23 Jan 2013 22:37
Last Modified:	06 Jul 2016 21:58
URI:	http://repository.usp.ac.fj/id/eprint/5415

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