Abstract:In this paper, the identification of hot spots in proteins using the short-time Fourier transform (STFT) will be investigated. We first introduce a resonant recognition model (RRM) which is a physicomathematical approach established to analyze the interaction between a protein and its target. Then we incorporate the short-time Fourier transform into the RRM to predict the hot spots. By performing this method, the hot spot locations can be clearly identified as distinct peaks (or colors) in the spectrum, thus overcoming the ambiguities involved in the conventional Fourier transform approach and achieving good localization in the amino acid domain. Finally, a Goertzel filter bank approach will be use to implement the discrete STFT for real time applications.