  We present and implement a distance-based clustering of amino acids within
the framework of a statistically derived interaction matrix and show that the
resulting groups faithfully reproduce, for well-designed sequences,
thermodynamic stability in and kinetic accessibility to the native state. A
simple interpretation of the groups is obtained by eigenanalysis of the
interaction matrix.
