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Towards Computational Modeling of Ligand Binding to the ILPR G-Quadruplex

Using a combination of unconstrained and constrained molecular dynamics simulations, we have evaluated the binding affinities between two porphyrin derivatives (TMPyP4 and TEGPy) and the G-quadruplex (G4) of a DNA fragment modeling the insulin-linked polymorphic region (ILPR). Refining a well-establ...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaotong, Barrow, John, van Mourik, Tanja, Bühl, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145587/
https://www.ncbi.nlm.nih.gov/pubmed/37110681
http://dx.doi.org/10.3390/molecules28083447
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author Zhang, Xiaotong
Barrow, John
van Mourik, Tanja
Bühl, Michael
author_facet Zhang, Xiaotong
Barrow, John
van Mourik, Tanja
Bühl, Michael
author_sort Zhang, Xiaotong
collection PubMed
description Using a combination of unconstrained and constrained molecular dynamics simulations, we have evaluated the binding affinities between two porphyrin derivatives (TMPyP4 and TEGPy) and the G-quadruplex (G4) of a DNA fragment modeling the insulin-linked polymorphic region (ILPR). Refining a well-established potential of mean force (PMF) approach to selections of constraints based on root-mean-square fluctuations results in an excellent agreement between the calculated and observed absolute free binding energy of TMPyP4. The binding affinity of IPLR-G4 toward TEGPy is predicted to be higher than that toward TMPyP4 by 2.5 kcal/mol, which can be traced back to stabilization provided by the polyether side chains of TMPyP4 that can nestle into the grooves of the quadruplex and form hydrogen bonds through the ether oxygen atoms. Because our refined methodology can be applied to large ligands with high flexibility, the present research opens an avenue for further ligand design in this important area.
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spelling pubmed-101455872023-04-29 Towards Computational Modeling of Ligand Binding to the ILPR G-Quadruplex Zhang, Xiaotong Barrow, John van Mourik, Tanja Bühl, Michael Molecules Article Using a combination of unconstrained and constrained molecular dynamics simulations, we have evaluated the binding affinities between two porphyrin derivatives (TMPyP4 and TEGPy) and the G-quadruplex (G4) of a DNA fragment modeling the insulin-linked polymorphic region (ILPR). Refining a well-established potential of mean force (PMF) approach to selections of constraints based on root-mean-square fluctuations results in an excellent agreement between the calculated and observed absolute free binding energy of TMPyP4. The binding affinity of IPLR-G4 toward TEGPy is predicted to be higher than that toward TMPyP4 by 2.5 kcal/mol, which can be traced back to stabilization provided by the polyether side chains of TMPyP4 that can nestle into the grooves of the quadruplex and form hydrogen bonds through the ether oxygen atoms. Because our refined methodology can be applied to large ligands with high flexibility, the present research opens an avenue for further ligand design in this important area. MDPI 2023-04-13 /pmc/articles/PMC10145587/ /pubmed/37110681 http://dx.doi.org/10.3390/molecules28083447 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Xiaotong
Barrow, John
van Mourik, Tanja
Bühl, Michael
Towards Computational Modeling of Ligand Binding to the ILPR G-Quadruplex
title Towards Computational Modeling of Ligand Binding to the ILPR G-Quadruplex
title_full Towards Computational Modeling of Ligand Binding to the ILPR G-Quadruplex
title_fullStr Towards Computational Modeling of Ligand Binding to the ILPR G-Quadruplex
title_full_unstemmed Towards Computational Modeling of Ligand Binding to the ILPR G-Quadruplex
title_short Towards Computational Modeling of Ligand Binding to the ILPR G-Quadruplex
title_sort towards computational modeling of ligand binding to the ilpr g-quadruplex
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145587/
https://www.ncbi.nlm.nih.gov/pubmed/37110681
http://dx.doi.org/10.3390/molecules28083447
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