We have been developing computational approaches to increase our ability to
analyze the growing body of three-dimensional structural data with applications centered
about the serine proteases. The emphasis of these approaches is to compare and contrast
macromolecules at the separate levels of secondary, tertiary, and quaternary structure. Our
assumption is that in functionally related molecules, regions of structural and/or physicochemical
similarity will exhibit functional similarity; regions that are different in structure
and/or physicochemical properties will function differently and, therefore, be the source of
specificity. Based on this assumption, the independent observations from studies of these
enzymes in solution and in biological systems are combined with the structural observations
from X-ray crystallographic analysis. A goal of the present research effort is to probe the
biomolecular architecture of the serine proteases to evaluate the role of the three-dimensional
structure beyond that of the active site in determining recognition and reactivity
determinants for these enzymes, and to determine those principles that might be applied
successfully to other enzyme systems as well. Of particular note has been our observation of a
macromolecular recognition surface which occurs as a topographical feature outside of the
active site and under evolutionary control to produce specificity towards macromolecular
substrates and inhibitors. In additon we have established the important role of conformational
changes that occur beyond the active site of an enzyme and differentiate between
natural and synthetic inhibitor-enzyme interactions. This suggests that the specificity and
reactivity determinants of a macromolecule are derived from its architecture and structural
organization.