Signal processing for functional analysis of protein mutants

Authors:
K. Najarian;K. Gopalakrishnan;R. H. Zadeh
Affiliations:
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
Venue:
International Journal of Bioinformatics Research and Applications
Year:
2005

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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.