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Sahu, S.S. and Panda, G., “Efficient Localization of Hot Spot in Proteins Using A Novel S-Transform Based Filtering Approach”, IEEE/ACM Transaction on Computational Biology and Bioinformatics, 8 (5). 1235-1246. 2011.

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Article

Determination of Characteristic Frequency for identification of Hot spots in Proteins using Computational Simulations: a Review

1Department of Electronics and Telecommunication Engineering, Synergy Institute of Engineering & Technology, Dhenkanal 759001, Odisha, India


American Journal of Computing Research Repository. 2014, Vol. 2 No. 2, 38-43
DOI: 10.12691/ajcrr-2-2-3
Copyright © 2014 Science and Education Publishing

Cite this paper:
Sidhartha Sankar Sahoo, Malaya Kumar Hota. Determination of Characteristic Frequency for identification of Hot spots in Proteins using Computational Simulations: a Review. American Journal of Computing Research Repository. 2014; 2(2):38-43. doi: 10.12691/ajcrr-2-2-3.

Correspondence to: Sidhartha  Sankar Sahoo, Department of Electronics and Telecommunication Engineering, Synergy Institute of Engineering & Technology, Dhenkanal 759001, Odisha, India. Email: sidhartha.nmiet@gmail.com

Abstract

Proteins perform their functions by interaction with other molecules known as target. Protein-target interactions are very specific in nature and occur at predefined locations in proteins known as hotspots. For successful protein-target interaction both protein and target must share common spectral component known as characteristic frequency. Characteristic frequency is very importance since it forms basis for protein-target interactions, thus far various computational simulations have been used for determination of characteristics frequency. In this paper we have applied all computational simulations used till now and also use comparative study based on computational time and Signal to Noise Ratio parameter to stress the best suitable technique. All computational simulation works in this paper are done using MATLAB.

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