A fundamental goal in signal transduction study is to understand allosteric communication. The authors present hereby a statistical coupling analysis method (developed by Steve W. Lockless etc.) for quantitative mapping of the global network of amino acid positions in a protein and predicting a set of energetically coupled positions, which may constitute the physical pathways of allosteric communication in a protein family. Based on MATLAB, the authors realized this method and created histograms of amino acid distributions for all 63 395 entries (as of April 2004) in the Swiss-Prot database of eukaryotic proteins and calculated the mean values. The result was similar to that calculated by Steve W. Lockless in October 1998.
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