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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10145587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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