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Decomposing protein–DNA binding and recognition using simplified protein models

We analyze the role of different physicochemical factors in protein/DNA binding and recognition by comparing the results from all-atom molecular dynamics simulations with simulations using simplified protein models. These models enable us to separate the role of specific amino acid side chains, form...

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Detalles Bibliográficos
Autores principales: Etheve, Loïc, Martin, Juliette, Lavery, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5622342/
https://www.ncbi.nlm.nih.gov/pubmed/28973439
http://dx.doi.org/10.1093/nar/gkx627
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author Etheve, Loïc
Martin, Juliette
Lavery, Richard
author_facet Etheve, Loïc
Martin, Juliette
Lavery, Richard
author_sort Etheve, Loïc
collection PubMed
description We analyze the role of different physicochemical factors in protein/DNA binding and recognition by comparing the results from all-atom molecular dynamics simulations with simulations using simplified protein models. These models enable us to separate the role of specific amino acid side chains, formal amino acid charges and hydrogen bonding from the effects of the low-dielectric volume occupied by the protein. Comparisons are made on the basis of the conformation of DNA after protein binding, the ionic distribution around the complex and the sequence specificity. The results for four transcription factors, binding in either the minor or major grooves of DNA, show that the protein volume and formal charges, with one exception, play a predominant role in binding. Adding hydrogen bonding and a very small number of key amino acid side chains at the all-atom level yields results in DNA conformations and sequence recognition close to those seen in the reference all-atom simulations.
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spelling pubmed-56223422017-10-04 Decomposing protein–DNA binding and recognition using simplified protein models Etheve, Loïc Martin, Juliette Lavery, Richard Nucleic Acids Res Structural Biology We analyze the role of different physicochemical factors in protein/DNA binding and recognition by comparing the results from all-atom molecular dynamics simulations with simulations using simplified protein models. These models enable us to separate the role of specific amino acid side chains, formal amino acid charges and hydrogen bonding from the effects of the low-dielectric volume occupied by the protein. Comparisons are made on the basis of the conformation of DNA after protein binding, the ionic distribution around the complex and the sequence specificity. The results for four transcription factors, binding in either the minor or major grooves of DNA, show that the protein volume and formal charges, with one exception, play a predominant role in binding. Adding hydrogen bonding and a very small number of key amino acid side chains at the all-atom level yields results in DNA conformations and sequence recognition close to those seen in the reference all-atom simulations. Oxford University Press 2017-09-29 2017-07-18 /pmc/articles/PMC5622342/ /pubmed/28973439 http://dx.doi.org/10.1093/nar/gkx627 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Structural Biology
Etheve, Loïc
Martin, Juliette
Lavery, Richard
Decomposing protein–DNA binding and recognition using simplified protein models
title Decomposing protein–DNA binding and recognition using simplified protein models
title_full Decomposing protein–DNA binding and recognition using simplified protein models
title_fullStr Decomposing protein–DNA binding and recognition using simplified protein models
title_full_unstemmed Decomposing protein–DNA binding and recognition using simplified protein models
title_short Decomposing protein–DNA binding and recognition using simplified protein models
title_sort decomposing protein–dna binding and recognition using simplified protein models
topic Structural Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5622342/
https://www.ncbi.nlm.nih.gov/pubmed/28973439
http://dx.doi.org/10.1093/nar/gkx627
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