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MD-TSPC4: Computational Method for Predicting the Thermal Stability of I-Motif

I-Motif is a tetrameric cytosine-rich DNA structure with hemi-protonated cytosine: cytosine base pairs. Recent evidence showed that i-motif structures in human cells play regulatory roles in the genome. Therefore, characterization of novel i-motifs and investigation of their functional implication a...

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Detalles Bibliográficos
Autores principales: Shamim, Amen, Razzaq, Maria, Kim, Kyeong Kyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793491/
https://www.ncbi.nlm.nih.gov/pubmed/33374624
http://dx.doi.org/10.3390/ijms22010061
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author Shamim, Amen
Razzaq, Maria
Kim, Kyeong Kyu
author_facet Shamim, Amen
Razzaq, Maria
Kim, Kyeong Kyu
author_sort Shamim, Amen
collection PubMed
description I-Motif is a tetrameric cytosine-rich DNA structure with hemi-protonated cytosine: cytosine base pairs. Recent evidence showed that i-motif structures in human cells play regulatory roles in the genome. Therefore, characterization of novel i-motifs and investigation of their functional implication are urgently needed for comprehensive understanding of their roles in gene regulation. However, considering the complications of experimental investigation of i-motifs and the large number of putative i-motifs in the genome, development of an in silico tool for the characterization of i-motifs in the high throughput scale is necessary. We developed a novel computation method, MD-TSPC4, to predict the thermal stability of i-motifs based on molecular modeling and molecular dynamic simulation. By assuming that the flexibility of loops in i-motifs correlated with thermal stability within certain temperature ranges, we evaluated the correlation between the root mean square deviations (RMSDs) of model structures and the thermal stability as the experimentally obtained melting temperature (Tm). Based on this correlation, we propose an equation for Tm prediction from RMSD. We expect this method can be useful for estimating the overall structure and stability of putative i-motifs in the genome, which can be a starting point of further structural and functional studies of i-motifs.
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spelling pubmed-77934912021-01-09 MD-TSPC4: Computational Method for Predicting the Thermal Stability of I-Motif Shamim, Amen Razzaq, Maria Kim, Kyeong Kyu Int J Mol Sci Article I-Motif is a tetrameric cytosine-rich DNA structure with hemi-protonated cytosine: cytosine base pairs. Recent evidence showed that i-motif structures in human cells play regulatory roles in the genome. Therefore, characterization of novel i-motifs and investigation of their functional implication are urgently needed for comprehensive understanding of their roles in gene regulation. However, considering the complications of experimental investigation of i-motifs and the large number of putative i-motifs in the genome, development of an in silico tool for the characterization of i-motifs in the high throughput scale is necessary. We developed a novel computation method, MD-TSPC4, to predict the thermal stability of i-motifs based on molecular modeling and molecular dynamic simulation. By assuming that the flexibility of loops in i-motifs correlated with thermal stability within certain temperature ranges, we evaluated the correlation between the root mean square deviations (RMSDs) of model structures and the thermal stability as the experimentally obtained melting temperature (Tm). Based on this correlation, we propose an equation for Tm prediction from RMSD. We expect this method can be useful for estimating the overall structure and stability of putative i-motifs in the genome, which can be a starting point of further structural and functional studies of i-motifs. MDPI 2020-12-23 /pmc/articles/PMC7793491/ /pubmed/33374624 http://dx.doi.org/10.3390/ijms22010061 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shamim, Amen
Razzaq, Maria
Kim, Kyeong Kyu
MD-TSPC4: Computational Method for Predicting the Thermal Stability of I-Motif
title MD-TSPC4: Computational Method for Predicting the Thermal Stability of I-Motif
title_full MD-TSPC4: Computational Method for Predicting the Thermal Stability of I-Motif
title_fullStr MD-TSPC4: Computational Method for Predicting the Thermal Stability of I-Motif
title_full_unstemmed MD-TSPC4: Computational Method for Predicting the Thermal Stability of I-Motif
title_short MD-TSPC4: Computational Method for Predicting the Thermal Stability of I-Motif
title_sort md-tspc4: computational method for predicting the thermal stability of i-motif
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793491/
https://www.ncbi.nlm.nih.gov/pubmed/33374624
http://dx.doi.org/10.3390/ijms22010061
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