Molecular Dynamics to Predict Cryo-EM: Capturing Transitions and Short-Lived Conformational States of Biomolecules

Single-particle cryogenic electron microscopy (cryo-EM) has revolutionized the field of the structural biology, providing an access to the atomic resolution structures of large biomolecular complexes in their near-native environment. Today’s cryo-EM maps can frequently reach the atomic-level resolut...

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Main Authors: Łukasz Nierzwicki, Giulia Palermo
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Molecular Biosciences
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2021.641208/full
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spelling doaj-82c0e4bddea3496391f851012cd2dac92021-05-27T08:21:45ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2021-04-01810.3389/fmolb.2021.641208641208Molecular Dynamics to Predict Cryo-EM: Capturing Transitions and Short-Lived Conformational States of BiomoleculesŁukasz Nierzwicki0Giulia Palermo1Giulia Palermo2Department of Bioengineering, University of California, Riverside, CA, United StatesDepartment of Bioengineering, University of California, Riverside, CA, United StatesDepartment of Chemistry, University of California, Riverside, CA, United StatesSingle-particle cryogenic electron microscopy (cryo-EM) has revolutionized the field of the structural biology, providing an access to the atomic resolution structures of large biomolecular complexes in their near-native environment. Today’s cryo-EM maps can frequently reach the atomic-level resolution, while often containing a range of resolutions, with conformationally variable regions obtained at 6 Å or worse. Low resolution density maps obtained for protein flexible domains, as well as the ensemble of coexisting conformational states arising from cryo-EM, poses new challenges and opportunities for Molecular Dynamics (MD) simulations. With the ability to describe the biomolecular dynamics at the atomic level, MD can extend the capabilities of cryo-EM, capturing the conformational variability and predicting biologically relevant short-lived conformational states. Here, we report about the state-of-the-art MD procedures that are currently used to refine, reconstruct and interpret cryo-EM maps. We show the capability of MD to predict short-lived conformational states, finding remarkable confirmation by cryo-EM structures subsequently solved. This has been the case of the CRISPR-Cas9 genome editing machinery, whose catalytically active structure has been predicted through both long-time scale MD and enhanced sampling techniques 2 years earlier than cryo-EM. In summary, this contribution remarks the ability of MD to complement cryo-EM, describing conformational landscapes and relating structural transitions to function, ultimately discerning relevant short-lived conformational states and providing mechanistic knowledge of biological function.https://www.frontiersin.org/articles/10.3389/fmolb.2021.641208/fullmolecular dynamicsenhanced samplingcryo-EMCRISPR-Cas9structure prediction
collection DOAJ
language English
format Article
sources DOAJ
author Łukasz Nierzwicki
Giulia Palermo
Giulia Palermo
spellingShingle Łukasz Nierzwicki
Giulia Palermo
Giulia Palermo
Molecular Dynamics to Predict Cryo-EM: Capturing Transitions and Short-Lived Conformational States of Biomolecules
Frontiers in Molecular Biosciences
molecular dynamics
enhanced sampling
cryo-EM
CRISPR-Cas9
structure prediction
author_facet Łukasz Nierzwicki
Giulia Palermo
Giulia Palermo
author_sort Łukasz Nierzwicki
title Molecular Dynamics to Predict Cryo-EM: Capturing Transitions and Short-Lived Conformational States of Biomolecules
title_short Molecular Dynamics to Predict Cryo-EM: Capturing Transitions and Short-Lived Conformational States of Biomolecules
title_full Molecular Dynamics to Predict Cryo-EM: Capturing Transitions and Short-Lived Conformational States of Biomolecules
title_fullStr Molecular Dynamics to Predict Cryo-EM: Capturing Transitions and Short-Lived Conformational States of Biomolecules
title_full_unstemmed Molecular Dynamics to Predict Cryo-EM: Capturing Transitions and Short-Lived Conformational States of Biomolecules
title_sort molecular dynamics to predict cryo-em: capturing transitions and short-lived conformational states of biomolecules
publisher Frontiers Media S.A.
series Frontiers in Molecular Biosciences
issn 2296-889X
publishDate 2021-04-01
description Single-particle cryogenic electron microscopy (cryo-EM) has revolutionized the field of the structural biology, providing an access to the atomic resolution structures of large biomolecular complexes in their near-native environment. Today’s cryo-EM maps can frequently reach the atomic-level resolution, while often containing a range of resolutions, with conformationally variable regions obtained at 6 Å or worse. Low resolution density maps obtained for protein flexible domains, as well as the ensemble of coexisting conformational states arising from cryo-EM, poses new challenges and opportunities for Molecular Dynamics (MD) simulations. With the ability to describe the biomolecular dynamics at the atomic level, MD can extend the capabilities of cryo-EM, capturing the conformational variability and predicting biologically relevant short-lived conformational states. Here, we report about the state-of-the-art MD procedures that are currently used to refine, reconstruct and interpret cryo-EM maps. We show the capability of MD to predict short-lived conformational states, finding remarkable confirmation by cryo-EM structures subsequently solved. This has been the case of the CRISPR-Cas9 genome editing machinery, whose catalytically active structure has been predicted through both long-time scale MD and enhanced sampling techniques 2 years earlier than cryo-EM. In summary, this contribution remarks the ability of MD to complement cryo-EM, describing conformational landscapes and relating structural transitions to function, ultimately discerning relevant short-lived conformational states and providing mechanistic knowledge of biological function.
topic molecular dynamics
enhanced sampling
cryo-EM
CRISPR-Cas9
structure prediction
url https://www.frontiersin.org/articles/10.3389/fmolb.2021.641208/full
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