American Journal of Systems and Software
ISSN (Print): 2372-708X ISSN (Online): 2372-7071 Website: http://www.sciepub.com/journal/ajss Editor-in-chief: Josué-Antonio Nescolarde-Selva
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American Journal of Systems and Software. 2014, 2(3), 81-84
DOI: 10.12691/ajss-2-3-5
Open AccessArticle

A Computational Simulation of Determination of Characteristic Frequency for Identification of Hot Spots in Proteins

Sidhartha Sankar Sahoo1 and Malaya Kumar Hota1,

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

Pub. Date: July 03, 2014

Cite this paper:
Sidhartha Sankar Sahoo and Malaya Kumar Hota. A Computational Simulation of Determination of Characteristic Frequency for Identification of Hot Spots in Proteins. American Journal of Systems and Software. 2014; 2(3):81-84. doi: 10.12691/ajss-2-3-5

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 an approach for determination of characteristic frequency in proteins using discrete cosine transform (DCT) is illustrated in this paper. The performance of the proposed method is observed to be better than existing approaches and is illustrated using simulation examples.

Keywords:
proteins Electron Ion Interaction Potential (EIIP) consensus spectrum resonant recognition model (RRM) characteristic frequency Discrete Cosine Transform (DCT)

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