Title: Signal processing for functional analysis of protein mutants

Authors: K. Najarian, K. Gopalakrishnan, R.H. Zadeh

Addresses: College of Information Technology, University of North Carolina at Charlotte, Charlotte, NC 28223, USA. ' College of Information Technology, University of North Carolina at Charlotte, Charlotte, NC 28223, USA. ' Department of Physics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA

Abstract: We present a new technique to predict the functional behaviour of protein mutants using their primary sequence. The amino acid sequences of proteins are used to form biochemical signals. Signal processing techniques are used to extract functionally meaningful measures from these signals. These computational measures are then used to distinguish functional classes of mutant proteins.

Keywords: biology; genetics; cancer; HIV; feature representation; health; protein function; structure prediction; primary sequence; signal processing; drug design; bioinformatics; protein mutants; signal processing; protein sequence; amino acid sequences; functional behaviour.

DOI: 10.1504/IJBRA.2005.006905

International Journal of Bioinformatics Research and Applications, 2005 Vol.1 No.1, pp.102 - 120

Available online: 21 Apr 2005 *

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