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Identifying and Visualizing Macromolecular Flexibility in Structural Biology

Structural biology comprises a variety of tools to obtain atomic resolution data for the investigation of macromolecules. Conventional structural methodologies including crystallography, NMR and electron microscopy often do not provide sufficient details concerning flexibility and dynamics, even tho...

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Autores principales: Palamini, Martina, Canciani, Anselmo, Forneris, Federico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5016524/
https://www.ncbi.nlm.nih.gov/pubmed/27668215
http://dx.doi.org/10.3389/fmolb.2016.00047
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author Palamini, Martina
Canciani, Anselmo
Forneris, Federico
author_facet Palamini, Martina
Canciani, Anselmo
Forneris, Federico
author_sort Palamini, Martina
collection PubMed
description Structural biology comprises a variety of tools to obtain atomic resolution data for the investigation of macromolecules. Conventional structural methodologies including crystallography, NMR and electron microscopy often do not provide sufficient details concerning flexibility and dynamics, even though these aspects are critical for the physiological functions of the systems under investigation. However, the increasing complexity of the molecules studied by structural biology (including large macromolecular assemblies, integral membrane proteins, intrinsically disordered systems, and folding intermediates) continuously demands in-depth analyses of the roles of flexibility and conformational specificity involved in interactions with ligands and inhibitors. The intrinsic difficulties in capturing often subtle but critical molecular motions in biological systems have restrained the investigation of flexible molecules into a small niche of structural biology. Introduction of massive technological developments over the recent years, which include time-resolved studies, solution X-ray scattering, and new detectors for cryo-electron microscopy, have pushed the limits of structural investigation of flexible systems far beyond traditional approaches of NMR analysis. By integrating these modern methods with powerful biophysical and computational approaches such as generation of ensembles of molecular models and selective particle picking in electron microscopy, more feasible investigations of dynamic systems are now possible. Using some prominent examples from recent literature, we review how current structural biology methods can contribute useful data to accurately visualize flexibility in macromolecular structures and understand its important roles in regulation of biological processes.
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spelling pubmed-50165242016-09-23 Identifying and Visualizing Macromolecular Flexibility in Structural Biology Palamini, Martina Canciani, Anselmo Forneris, Federico Front Mol Biosci Molecular Biosciences Structural biology comprises a variety of tools to obtain atomic resolution data for the investigation of macromolecules. Conventional structural methodologies including crystallography, NMR and electron microscopy often do not provide sufficient details concerning flexibility and dynamics, even though these aspects are critical for the physiological functions of the systems under investigation. However, the increasing complexity of the molecules studied by structural biology (including large macromolecular assemblies, integral membrane proteins, intrinsically disordered systems, and folding intermediates) continuously demands in-depth analyses of the roles of flexibility and conformational specificity involved in interactions with ligands and inhibitors. The intrinsic difficulties in capturing often subtle but critical molecular motions in biological systems have restrained the investigation of flexible molecules into a small niche of structural biology. Introduction of massive technological developments over the recent years, which include time-resolved studies, solution X-ray scattering, and new detectors for cryo-electron microscopy, have pushed the limits of structural investigation of flexible systems far beyond traditional approaches of NMR analysis. By integrating these modern methods with powerful biophysical and computational approaches such as generation of ensembles of molecular models and selective particle picking in electron microscopy, more feasible investigations of dynamic systems are now possible. Using some prominent examples from recent literature, we review how current structural biology methods can contribute useful data to accurately visualize flexibility in macromolecular structures and understand its important roles in regulation of biological processes. Frontiers Media S.A. 2016-09-09 /pmc/articles/PMC5016524/ /pubmed/27668215 http://dx.doi.org/10.3389/fmolb.2016.00047 Text en Copyright © 2016 Palamini, Canciani and Forneris. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Palamini, Martina
Canciani, Anselmo
Forneris, Federico
Identifying and Visualizing Macromolecular Flexibility in Structural Biology
title Identifying and Visualizing Macromolecular Flexibility in Structural Biology
title_full Identifying and Visualizing Macromolecular Flexibility in Structural Biology
title_fullStr Identifying and Visualizing Macromolecular Flexibility in Structural Biology
title_full_unstemmed Identifying and Visualizing Macromolecular Flexibility in Structural Biology
title_short Identifying and Visualizing Macromolecular Flexibility in Structural Biology
title_sort identifying and visualizing macromolecular flexibility in structural biology
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5016524/
https://www.ncbi.nlm.nih.gov/pubmed/27668215
http://dx.doi.org/10.3389/fmolb.2016.00047
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