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How to assess the structural dynamics of transcription factors by integrating sparse NMR and EPR constraints with molecular dynamics simulations
We review recent advances in modeling structural ensembles of transcription factors from nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR) spectroscopic data, integrated with molecular dynamics (MD) simulations. We focus on approaches that confirm computed conformational ens...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085671/ https://www.ncbi.nlm.nih.gov/pubmed/33995905 http://dx.doi.org/10.1016/j.csbj.2021.04.020 |
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author | Kozak, Fanny Kurzbach, Dennis |
author_facet | Kozak, Fanny Kurzbach, Dennis |
author_sort | Kozak, Fanny |
collection | PubMed |
description | We review recent advances in modeling structural ensembles of transcription factors from nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR) spectroscopic data, integrated with molecular dynamics (MD) simulations. We focus on approaches that confirm computed conformational ensembles by sparse constraints obtained from magnetic resonance. This combination enables the deduction of functional and structural protein models even if nuclear Overhauser effects (NOEs) are too scarce for conventional structure determination. We highlight recent insights into the folding-upon-DNA binding transitions of intrinsically disordered transcription factors that could be assessed using such integrative approaches. |
format | Online Article Text |
id | pubmed-8085671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-80856712021-05-13 How to assess the structural dynamics of transcription factors by integrating sparse NMR and EPR constraints with molecular dynamics simulations Kozak, Fanny Kurzbach, Dennis Comput Struct Biotechnol J Review We review recent advances in modeling structural ensembles of transcription factors from nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR) spectroscopic data, integrated with molecular dynamics (MD) simulations. We focus on approaches that confirm computed conformational ensembles by sparse constraints obtained from magnetic resonance. This combination enables the deduction of functional and structural protein models even if nuclear Overhauser effects (NOEs) are too scarce for conventional structure determination. We highlight recent insights into the folding-upon-DNA binding transitions of intrinsically disordered transcription factors that could be assessed using such integrative approaches. Research Network of Computational and Structural Biotechnology 2021-04-21 /pmc/articles/PMC8085671/ /pubmed/33995905 http://dx.doi.org/10.1016/j.csbj.2021.04.020 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Kozak, Fanny Kurzbach, Dennis How to assess the structural dynamics of transcription factors by integrating sparse NMR and EPR constraints with molecular dynamics simulations |
title | How to assess the structural dynamics of transcription factors by integrating sparse NMR and EPR constraints with molecular dynamics simulations |
title_full | How to assess the structural dynamics of transcription factors by integrating sparse NMR and EPR constraints with molecular dynamics simulations |
title_fullStr | How to assess the structural dynamics of transcription factors by integrating sparse NMR and EPR constraints with molecular dynamics simulations |
title_full_unstemmed | How to assess the structural dynamics of transcription factors by integrating sparse NMR and EPR constraints with molecular dynamics simulations |
title_short | How to assess the structural dynamics of transcription factors by integrating sparse NMR and EPR constraints with molecular dynamics simulations |
title_sort | how to assess the structural dynamics of transcription factors by integrating sparse nmr and epr constraints with molecular dynamics simulations |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085671/ https://www.ncbi.nlm.nih.gov/pubmed/33995905 http://dx.doi.org/10.1016/j.csbj.2021.04.020 |
work_keys_str_mv | AT kozakfanny howtoassessthestructuraldynamicsoftranscriptionfactorsbyintegratingsparsenmrandeprconstraintswithmoleculardynamicssimulations AT kurzbachdennis howtoassessthestructuraldynamicsoftranscriptionfactorsbyintegratingsparsenmrandeprconstraintswithmoleculardynamicssimulations |