Literature DB >> 3539587

Structural organization in the serine proteases. I. Macromolecular specificity in limited proteolysis.

M N Liebman.   

Abstract

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 addition 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.

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Year:  1986        PMID: 3539587

Source DB:  PubMed          Journal:  Enzyme        ISSN: 0013-9432


  3 in total

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Authors:  J Rose; F Eisenmenger
Journal:  J Mol Evol       Date:  1991-04       Impact factor: 2.395

2.  Symposium overview. Minnesota Conference on Supercomputing in Biology: Proteins, Nucleic Acids, and Water.

Authors:  G L Wilcox; F A Quiocho; C Levinthal; S C Harvey; G M Maggiora; J A McCammon
Journal:  J Comput Aided Mol Des       Date:  1988-01       Impact factor: 3.686

3.  Molecular modeling of protein structure and function: a bioinformatic approach.

Authors:  M N Liebman
Journal:  J Comput Aided Mol Des       Date:  1988-01       Impact factor: 3.686

  3 in total

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