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Evaluation of Sox2 binding affinities for distinct DNA patterns using steered molecular dynamics simulation

Transcription factors (TFs) are gene expression regulators that bind to DNA in a sequence‐specific manner and determine the functional characteristics of the gene. It is worthwhile to study the unique characteristics of such specific TF‐binding pattern in DNA. Sox2 recognizes a 6‐ to 7‐base pair con...

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Autores principales: Yesudhas, Dhanusha, Anwar, Muhammad Ayaz, Panneerselvam, Suresh, Kim, Han‐Kyul, Choi, Sangdun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5666385/
https://www.ncbi.nlm.nih.gov/pubmed/29123983
http://dx.doi.org/10.1002/2211-5463.12316
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author Yesudhas, Dhanusha
Anwar, Muhammad Ayaz
Panneerselvam, Suresh
Kim, Han‐Kyul
Choi, Sangdun
author_facet Yesudhas, Dhanusha
Anwar, Muhammad Ayaz
Panneerselvam, Suresh
Kim, Han‐Kyul
Choi, Sangdun
author_sort Yesudhas, Dhanusha
collection PubMed
description Transcription factors (TFs) are gene expression regulators that bind to DNA in a sequence‐specific manner and determine the functional characteristics of the gene. It is worthwhile to study the unique characteristics of such specific TF‐binding pattern in DNA. Sox2 recognizes a 6‐ to 7‐base pair consensus DNA sequence; the central four bases of the binding site are highly conserved, whereas the two to three flanking bases are variable. Here, we attempted to analyze the binding affinity and specificity of the Sox2 protein for distinct DNA sequence patterns via steered molecular dynamics, in which a pulling force is employed to dissociate Sox2 from Sox2–DNA during simulation to study the behavior of a complex under nonequilibrium conditions. The simulation results revealed that the first two stacking bases of the binding pattern have an exclusive impact on the binding affinity, with the corresponding mutant complexes showing greater binding and longer dissociation time than the experimental complexes do. In contrast, mutation of the conserved bases tends to reduce the affinity, and mutation of the complete conserved region disrupts the binding. It might pave the way to identify the most likely binding pattern recognized by Sox2 based on the affinity of each configuration. The α2‐helix of Sox2 was found to be the key player in the Sox2–DNA association. The characterization of Sox2's binding patterns for the target genes in the genome helps in understanding of its regulatory functions.
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spelling pubmed-56663852017-11-09 Evaluation of Sox2 binding affinities for distinct DNA patterns using steered molecular dynamics simulation Yesudhas, Dhanusha Anwar, Muhammad Ayaz Panneerselvam, Suresh Kim, Han‐Kyul Choi, Sangdun FEBS Open Bio Research Articles Transcription factors (TFs) are gene expression regulators that bind to DNA in a sequence‐specific manner and determine the functional characteristics of the gene. It is worthwhile to study the unique characteristics of such specific TF‐binding pattern in DNA. Sox2 recognizes a 6‐ to 7‐base pair consensus DNA sequence; the central four bases of the binding site are highly conserved, whereas the two to three flanking bases are variable. Here, we attempted to analyze the binding affinity and specificity of the Sox2 protein for distinct DNA sequence patterns via steered molecular dynamics, in which a pulling force is employed to dissociate Sox2 from Sox2–DNA during simulation to study the behavior of a complex under nonequilibrium conditions. The simulation results revealed that the first two stacking bases of the binding pattern have an exclusive impact on the binding affinity, with the corresponding mutant complexes showing greater binding and longer dissociation time than the experimental complexes do. In contrast, mutation of the conserved bases tends to reduce the affinity, and mutation of the complete conserved region disrupts the binding. It might pave the way to identify the most likely binding pattern recognized by Sox2 based on the affinity of each configuration. The α2‐helix of Sox2 was found to be the key player in the Sox2–DNA association. The characterization of Sox2's binding patterns for the target genes in the genome helps in understanding of its regulatory functions. John Wiley and Sons Inc. 2017-10-09 /pmc/articles/PMC5666385/ /pubmed/29123983 http://dx.doi.org/10.1002/2211-5463.12316 Text en © 2017 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Yesudhas, Dhanusha
Anwar, Muhammad Ayaz
Panneerselvam, Suresh
Kim, Han‐Kyul
Choi, Sangdun
Evaluation of Sox2 binding affinities for distinct DNA patterns using steered molecular dynamics simulation
title Evaluation of Sox2 binding affinities for distinct DNA patterns using steered molecular dynamics simulation
title_full Evaluation of Sox2 binding affinities for distinct DNA patterns using steered molecular dynamics simulation
title_fullStr Evaluation of Sox2 binding affinities for distinct DNA patterns using steered molecular dynamics simulation
title_full_unstemmed Evaluation of Sox2 binding affinities for distinct DNA patterns using steered molecular dynamics simulation
title_short Evaluation of Sox2 binding affinities for distinct DNA patterns using steered molecular dynamics simulation
title_sort evaluation of sox2 binding affinities for distinct dna patterns using steered molecular dynamics simulation
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5666385/
https://www.ncbi.nlm.nih.gov/pubmed/29123983
http://dx.doi.org/10.1002/2211-5463.12316
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