Sharma, Alokanand and Paliwal, K.K. and Dehzangi, Abdollah and Lyons, James and Imoto, S. and Miyano, S. (2013) A strategy to select suitable physicochemical at attributes of amino acids for protein fold recognition. BMC Bioinformatics, 14 (233). pp. 1-11. ISSN 1471-2105
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Abstract
Background: Assigning a protein into one of its folds is a transitional step for discovering three dimensional
protein structure, which is a challenging task in bimolecular (biological) science. The present research focuses on: 1) the development of classifiers, and 2) the development of feature extraction techniques based on syntactic and/or physicochemical properties.
Results: Apart from the above two main categories of research, we have shown that the selection of
physicochemical attributes of the amino acids is an important step in protein fold recognition and has not been
explored adequately. We have presented a multi-dimensional successive feature selection (MD-SFS) approach to
systematically select attributes. The proposed method is applied on protein sequence data and an improvement of
around 24% in fold recognition has been noted when selecting attributes appropriately.
Conclusion: The MD-SFS has been applied successfully in selecting physicochemical attributes of the amino acids.
The selected attributes show improved protein fold recognition performance.
| Item Type: | Journal Article |
|---|---|
| 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: | 05 Nov 2013 21:23 |
| Last Modified: | 06 Jul 2016 23:00 |
| URI: | https://repository.usp.ac.fj/id/eprint/6995 |
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