Research Article
Analysis of domain motions by approximate normal mode calculations
Article first published online: 9 MAR 1999
DOI: 10.1002/(SICI)1097-0134(19981115)33:3<417::AID-PROT10>3.0.CO;2-8
Copyright © 1998 Wiley-Liss, Inc.
Issue
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Proteins: Structure, Function, and Bioinformatics
Volume 33, Issue 3, pages 417–429, 15 November 1998
Additional Information
How to Cite
Hinsen, K. (1998), Analysis of domain motions by approximate normal mode calculations. Proteins: Structure, Function, and Bioinformatics, 33: 417–429. doi: 10.1002/(SICI)1097-0134(19981115)33:3<417::AID-PROT10>3.0.CO;2-8
Publication History
- Issue published online: 9 MAR 1999
- Article first published online: 9 MAR 1999
- Manuscript Accepted: 1 JUL 1998
- Manuscript Received: 17 MAR 1998
Funded by
- Human Frontier Science Project Organization
- Abstract
- References
- Cited By
Keywords:
- protein energy surface;
- crambin;
- lysozyme;
- ATCase
Abstract
The identification of dynamical domains in proteins and the description of the low-frequency domain motions are one of the important applications of numerical simulation techniques. The application of these techniques to large proteins requires a substantial computational effort and therefore cannot be performed routinely, if at all. This article shows how physically motivated approximations permit the calculation of low-frequency normal modes in a few minutes on standard desktop computers. The technique is based on the observation that the low-frequency modes, which describe domain motions, are independent of force field details and can be obtained with simplified mechanical models. These models also provide a useful measure for rigidity in proteins, allowing the identification of quasi-rigid domains. The methods are validated by application to three well-studied proteins, crambin, lysozyme, and ATCase. In addition to being useful techniques for studying domain motions, the success of the approximations provides new insight into the relevance of normal mode calculations and the nature of the potential energy surface of proteins. Proteins 33:417–429, 1998. © 1998 Wiley-Liss, Inc.

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