Discrete molecular dynamics can predict helical prestructured motifs in disordered proteins.

TitleDiscrete molecular dynamics can predict helical prestructured motifs in disordered proteins.
Publication TypeJournal Article
Year of Publication2014
AuthorsSzöllősi, D., T. Horvath, K-H. Han, N. V. Dokholyan, P. Tompa, L. Kalmar, and T. Hegedűs
JournalPLoS One
Date Published2014
KeywordsGlycine, Humans, Intrinsically Disordered Proteins, Membrane Proteins, Molecular Dynamics Simulation, Nuclear Magnetic Resonance, Biomolecular, Protein Structure, Secondary, Thermodynamics

Intrinsically disordered proteins (IDPs) lack a stable tertiary structure, but their short binding regions termed Pre-Structured Motifs (PreSMo) can form transient secondary structure elements in solution. Although disordered proteins are crucial in many biological processes and designing strategies to modulate their function is highly important, both experimental and computational tools to describe their conformational ensembles and the initial steps of folding are sparse. Here we report that discrete molecular dynamics (DMD) simulations combined with replica exchange (RX) method efficiently samples the conformational space and detects regions populating α-helical conformational states in disordered protein regions. While the available computational methods predict secondary structural propensities in IDPs based on the observation of protein-protein interactions, our ab initio method rests on physical principles of protein folding and dynamics. We show that RX-DMD predicts α-PreSMos with high confidence confirmed by comparison to experimental NMR data. Moreover, the method also can dissect α-PreSMos in close vicinity to each other and indicate helix stability. Importantly, simulations with disordered regions forming helices in X-ray structures of complexes indicate that a preformed helix is frequently the binding element itself, while in other cases it may have a role in initiating the binding process. Our results indicate that RX-DMD provides a breakthrough in the structural and dynamical characterization of disordered proteins by generating the structural ensembles of IDPs even when experimental data are not available.

Alternate JournalPLoS ONE
PubMed ID24763499
PubMed Central IDPMC3998973
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