Determination of Characteristic Frequency for Identification of Hot Spots in Proteins

Firstly they explain how the 3D shape of a protein can be derived from its amino-acid sequence and that proteins perform their biological function by interacting with other molecules, known as targets, and that the necessary binding energy for this protein-target interaction is provided by hot spots, that are small groups of amino-acids which provide functional stability to proteins.

It's know that using the Resonant Recognition Model (RRM) [1] which correlates the biological functions of the protein to its characteristic frequencies, is found that hot spots are localized where the characteristic frequencies of the functional group are dominant.

Here the authors propose an alternative mathematical development to extract these characteristic frequencies different from a previously used one (Power Spectral Density (PSD) instead of Discrete Fourier Transform (DFT)).

[1] › EMMIND Endogenous Fields & Mind › Endogenous Electromagnetic Fields › Electromagnetism & Resonant Recognition Model

Last modified on 20-Feb-18

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