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Towards computional specificity screening of DNA-binding proteins
DNA-binding proteins are key players in the regulation of gene expression and, hence, are essential for cell function. Chimeric proteins composed of DNA-binding domains and DNA modifying domains allow for precise genome manipulation. A key prerequisite is the specific recognition of a particular nuc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3201868/ https://www.ncbi.nlm.nih.gov/pubmed/21737424 http://dx.doi.org/10.1093/nar/gkr531 |
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author | Seeliger, Daniel Buelens, Floris P. Goette, Maik de Groot, Bert L. Grubmüller, Helmut |
author_facet | Seeliger, Daniel Buelens, Floris P. Goette, Maik de Groot, Bert L. Grubmüller, Helmut |
author_sort | Seeliger, Daniel |
collection | PubMed |
description | DNA-binding proteins are key players in the regulation of gene expression and, hence, are essential for cell function. Chimeric proteins composed of DNA-binding domains and DNA modifying domains allow for precise genome manipulation. A key prerequisite is the specific recognition of a particular nucleotide sequence. Here, we quantitatively assess the binding affinity of DNA-binding proteins by molecular dynamics-based alchemical free energy simulations. A computational framework was developed to automatically set up in silico screening assays and estimate free energy differences using two independent procedures, based on equilibrium and non-equlibrium transformation pathways. The influence of simulation times on the accuracy of both procedures is presented. The binding specificity of a zinc-finger transcription factor to several sequences is calculated, and agreement with experimental data is shown. Finally we propose an in silico screening strategy aiming at the derivation of full specificity profiles for DNA-binding proteins. |
format | Online Article Text |
id | pubmed-3201868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32018682011-10-26 Towards computional specificity screening of DNA-binding proteins Seeliger, Daniel Buelens, Floris P. Goette, Maik de Groot, Bert L. Grubmüller, Helmut Nucleic Acids Res Computational Biology DNA-binding proteins are key players in the regulation of gene expression and, hence, are essential for cell function. Chimeric proteins composed of DNA-binding domains and DNA modifying domains allow for precise genome manipulation. A key prerequisite is the specific recognition of a particular nucleotide sequence. Here, we quantitatively assess the binding affinity of DNA-binding proteins by molecular dynamics-based alchemical free energy simulations. A computational framework was developed to automatically set up in silico screening assays and estimate free energy differences using two independent procedures, based on equilibrium and non-equlibrium transformation pathways. The influence of simulation times on the accuracy of both procedures is presented. The binding specificity of a zinc-finger transcription factor to several sequences is calculated, and agreement with experimental data is shown. Finally we propose an in silico screening strategy aiming at the derivation of full specificity profiles for DNA-binding proteins. Oxford University Press 2011-10 2011-07-06 /pmc/articles/PMC3201868/ /pubmed/21737424 http://dx.doi.org/10.1093/nar/gkr531 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Seeliger, Daniel Buelens, Floris P. Goette, Maik de Groot, Bert L. Grubmüller, Helmut Towards computional specificity screening of DNA-binding proteins |
title | Towards computional specificity screening of DNA-binding proteins |
title_full | Towards computional specificity screening of DNA-binding proteins |
title_fullStr | Towards computional specificity screening of DNA-binding proteins |
title_full_unstemmed | Towards computional specificity screening of DNA-binding proteins |
title_short | Towards computional specificity screening of DNA-binding proteins |
title_sort | towards computional specificity screening of dna-binding proteins |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3201868/ https://www.ncbi.nlm.nih.gov/pubmed/21737424 http://dx.doi.org/10.1093/nar/gkr531 |
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