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PMID: 23055911 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Ubiquitin dynamics in complexes reveal molecular recognition mechanisms beyond induced fit and conformational selection.

PLoS computational biology ·Vol. 8 ·No. 10 ·2012-00-00 ·Pages e1002704

Peters JH, de Groot BL

Abstract

Protein-protein interactions play an important role in all biological processes. However, the principles underlying these interactions are only beginning to be understood. Ubiquitin is a small signalling protein that is covalently attached to different proteins to mark them for degradation, regulate transport and other functions. As such, it interacts with and is recognised by a multitude of other proteins. We have conducted molecular dynamics simulations of ubiquitin in complex with 11 different binding partners on a microsecond timescale and compared them with ensembles of unbound ubiquitin to investigate the principles of their interaction and determine the influence of complex formation on the dynamic properties of this protein. Along the main mode of fluctuation of ubiquitin, binding in most cases reduces the conformational space available to ubiquitin to a subspace of that covered by unbound ubiquitin. This behaviour can be well explained using the model of conformational selection. For lower amplitude collective modes, a spectrum of zero to almost complete coverage of bound by unbound ensembles was observed. The significant differences between bound and unbound structures are exclusively situated at the binding interface. Overall, the findings correspond neither to a complete conformational selection nor induced fit scenario. Instead, we introduce a model of conformational restriction, extension and shift, which describes the full range of observed effects.

MeSH Terms
Algorithms Least-Squares Analysis Molecular Dynamics Simulation Principal Component Analysis Protein Binding Protein Conformation Ubiquitin/chemistry,metabolism
Chemicals
Ubiquitin
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Peters Jan H
Computational Biomolecular Dynamics Group, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
de Groot Bert L
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Article Info
Journal
PLoS computational biology
Abbr.
PLoS Comput Biol
ISSN
1553-7358
Published
2012-00-00
Epub
2012-00-04
Pages
e1002704
Language
English
Region
United States
NLM ID
101238922
PMCID
PMC3464204
Subset
IM
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