Title
Global And Local Indices For Characterizing Biomolecular Flexibility And Rigidity
Abstract
Understanding flexibility and rigidity characteristics of biomolecules is a prerequisite for understanding biomolecular structural stability and function. Computational methods have been implemented that directly characterize biomolecular flexibility and rigidity by constraint network analysis. For deriving maximal advantage from these analyses, their results need to be linked to biologically relevant characteristics of a structure. Such links are provided by global and local measures ("indices") of biomolecular flexibility and rigidity. To date, more than 14 indices are available with sometimes overlapping or only vague definitions. We present concise definitions of these indices, analyze the relation between, and the scope and limitations of them, and compare their informative value. For this, we probe the structural stability of the calcium binding protein a-lactalbumin as a showcase, both in the "ground state" and after perturbing the system by changing the network topology. In addition, we introduce three indices for the first time that extend the application domain of flexibility and rigidity analyses. The results allow us to provide guidelines for future studies suggesting which of these indices could best be used for analyzing, understanding, and quantifying structural features that are important for biomolecular stability and function. Finally, we make suggestions for proper index notations in future studies to prevent the misinterpretation and to facilitate the comparison of results obtained from flexibility and rigidity analyses. (C) 2012 Wiley Periodicals, Inc. DOI: 10.1002/jcc.23122
Year
DOI
Venue
2013
10.1002/jcc.23122
JOURNAL OF COMPUTATIONAL CHEMISTRY
Keywords
Field
DocType
percolation theory, protein stability, phase transition, folding core, protein engineering, drug design
Rigidity (psychology),Data mining,Nanotechnology,Mathematical optimization,Protein stability,Network topology,Application domain,Network analysis,Mathematics
Journal
Volume
Issue
ISSN
34
3
0192-8651
Citations 
PageRank 
References 
5
0.73
7
Authors
4
Name
Order
Citations
PageRank
Christopher Pfleger1404.31
Sebastian Radestock2182.40
Elena Schmidt350.73
Holger Gohlke465562.65