Efficient quantification of the importance of contacts for the dynamical stability of proteins

Bibliographische Detailangaben
Veröffentlicht in:	Journal of computational chemistry. - 1984. - 32(2011), 5 vom: 15. Apr., Seite 810-5
1. Verfasser:	Hamacher, Kay (VerfasserIn)
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2011
Zugriff auf das übergeordnete Werk:	Journal of computational chemistry
Schlagworte:	Journal Article Serine Proteinase Inhibitors Amylases EC 3.2.1.-

Beschreibung
Zusammenfassung:	Copyright © 2010 Wiley Periodicals, Inc. Understanding the stability of the native state and the dynamics of a protein is of great importance for all areas of biomolecular design. The efficient estimation of the influence of individual contacts between amino acids in a protein structure is a first step in the reengineering of a particular protein for technological or pharmacological purposes. At the same time, the functional annotation of molecular evolution can be facilitated by such insight. Here, we use a recently suggested, information theoretical measure in biomolecular design - the Kullback-Leibler-divergence - to quantify and therefore rank residue-residue contacts within proteins according to their overall contribution to the molecular mechanics. We implement this protocol on the basis of a reduced molecular model, which allows us to use a well-known lemma of linear algebra to speed up the computation. The increase in computational performance is around 10(1)- to 10(4)-fold. We applied the method to two proteins to illustrate the protocol and its results. We found that our method can reliably identify key residues in the molecular mechanics and the protein fold in comparison to well-known properties in the serine protease inhibitor. We found significant correlations to experimental results, e.g., dissociation constants and Φ values
Beschreibung:	Date Completed 15.06.2011 Date Revised 22.02.2011 published: Print-Electronic Citation Status MEDLINE
ISSN:	1096-987X
DOI:	10.1002/jcc.21659