In Silico Elucidation of the Recognition Dynamics of Ubiquitin

Dong Long and Rafael Brüschweiler

PLOS Computational Biology, 2011, vol. 7, issue 4, 1-9

Abstract: Elucidation of the mechanism of biomacromolecular recognition events has been a topic of intense interest over the past century. The inherent dynamic nature of both protein and ligand molecules along with the continuous reshaping of the energy landscape during the binding process renders it difficult to characterize this process at atomic detail. Here, we investigate the recognition dynamics of ubiquitin via microsecond all-atom molecular dynamics simulation providing both thermodynamic and kinetic information. The high-level of consistency found with respect to experimental NMR data lends support to the accuracy of the in silico representation of the conformational substates and their interconversions of free ubiquitin. Using an energy-based reweighting approach, the statistical distribution of conformational states of ubiquitin is monitored as a function of the distance between ubiquitin and its binding partner Hrs-UIM. It is found that extensive and dense sampling of conformational space afforded by the µs MD trajectory is essential for the elucidation of the binding mechanism as is Boltzmann sampling, overcoming inherent limitations of sparsely sampled empirical ensembles. The results reveal a population redistribution mechanism that takes effect when the ligand is at intermediate range of 1–2 nm from ubiquitin. This mechanism, which may be depicted as a superposition of the conformational selection and induced fit mechanisms, also applies to other binding partners of ubiquitin, such as the GGA3 GAT domain. Author Summary: Molecular recognition plays a central role in many biological processes, ensuring specific and efficient interaction between binding partners. Various models for describing the mechanisms of molecular recognition have been proposed, but the validation of these models has been traditionally difficult due to the transient and complex nature of the dynamic recognition process. In the present study, we aim at visually characterizing the mutual interplay between human ubiquitin and its ligands via microsecond time scale molecular dynamics simulation, which is validated rigorously against experimental NMR data. Taking advantage of Boltzmann sampling of molecular dynamics snapshots, we statistically reweight the populations of ubiquitin in the presence of its ligand molecule at intermediate distance range (1–2 nm) to examine the population redistribution mechanisms. These results offer new atomistic insights into this vital protein-protein recognition event.

Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcbi00:1002035

DOI: 10.1371/journal.pcbi.1002035

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