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

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...

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Main Authors: Dániel Szöllősi, Tamás Horváth, Kyou-Hoon Han, Nikolay V Dokholyan, Péter Tompa, Lajos Kalmár, Tamás Hegedűs
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3998973?pdf=render
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spelling doaj-9f4ba84bd16147dba6313f6ad9d0a8c72020-11-25T01:52:54ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0194e9579510.1371/journal.pone.0095795Discrete molecular dynamics can predict helical prestructured motifs in disordered proteins.Dániel SzöllősiTamás HorváthKyou-Hoon HanNikolay V DokholyanPéter TompaLajos KalmárTamás HegedűsIntrinsically 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.http://europepmc.org/articles/PMC3998973?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Dániel Szöllősi
Tamás Horváth
Kyou-Hoon Han
Nikolay V Dokholyan
Péter Tompa
Lajos Kalmár
Tamás Hegedűs
spellingShingle Dániel Szöllősi
Tamás Horváth
Kyou-Hoon Han
Nikolay V Dokholyan
Péter Tompa
Lajos Kalmár
Tamás Hegedűs
Discrete molecular dynamics can predict helical prestructured motifs in disordered proteins.
PLoS ONE
author_facet Dániel Szöllősi
Tamás Horváth
Kyou-Hoon Han
Nikolay V Dokholyan
Péter Tompa
Lajos Kalmár
Tamás Hegedűs
author_sort Dániel Szöllősi
title Discrete molecular dynamics can predict helical prestructured motifs in disordered proteins.
title_short Discrete molecular dynamics can predict helical prestructured motifs in disordered proteins.
title_full Discrete molecular dynamics can predict helical prestructured motifs in disordered proteins.
title_fullStr Discrete molecular dynamics can predict helical prestructured motifs in disordered proteins.
title_full_unstemmed Discrete molecular dynamics can predict helical prestructured motifs in disordered proteins.
title_sort discrete molecular dynamics can predict helical prestructured motifs in disordered proteins.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description 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.
url http://europepmc.org/articles/PMC3998973?pdf=render
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