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Int J Bioinform Res Appl ; 1(1): 102-20, 2005.
Article in English | MEDLINE | ID: mdl-18048124

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.


Subject(s)
Computational Biology/methods , HIV/metabolism , Mutation , Proteins/chemistry , Algorithms , Cluster Analysis , DNA/chemistry , DNA Mutational Analysis , Drug Design , Fractals , Gene Expression Regulation, Neoplastic , Genetics , HIV Protease/metabolism , HIV Protease Inhibitors/pharmacology , Humans , Models, Genetic , Models, Statistical , Neoplasms/metabolism , Signal Transduction
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