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Modeling Gd(3+) Complexes for Molecular Dynamics Simulations: Toward a Rational Optimization of MRI Contrast Agents
[Image: see text] The correct parametrization of lanthanide complexes is of the utmost importance for their characterization using computational tools such as molecular dynamics simulations. This allows the optimization of their properties for a wide range of applications, including medical imaging....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775472/ https://www.ncbi.nlm.nih.gov/pubmed/35849762 http://dx.doi.org/10.1021/acs.inorgchem.2c01597 |
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author | Oliveira, Alexandre C. Filipe, Hugo A. L. Ramalho, João P. Prates Salvador, Armindo Geraldes, Carlos F. G. C. Moreno, Maria João Loura, Luís M. S. |
author_facet | Oliveira, Alexandre C. Filipe, Hugo A. L. Ramalho, João P. Prates Salvador, Armindo Geraldes, Carlos F. G. C. Moreno, Maria João Loura, Luís M. S. |
author_sort | Oliveira, Alexandre C. |
collection | PubMed |
description | [Image: see text] The correct parametrization of lanthanide complexes is of the utmost importance for their characterization using computational tools such as molecular dynamics simulations. This allows the optimization of their properties for a wide range of applications, including medical imaging. Here we present a systematic study to establish the best strategies for the correct parametrization of lanthanide complexes using [Gd(DOTA)](−) as a reference, which is used as a contrast agent in MRI. We chose the bonded model to parametrize the lanthanide complexes, which is especially important when considering the study of the complex as a whole (e.g., for the study of the dynamics of its interaction with proteins or membranes). We followed two strategies: a so-called heuristic approach employing strategies already published by other authors and another based on the more recent MCPB.py tool. Adjustment of the Lennard-Jones parameters of the metal was required. The final topologies obtained with both strategies were able to reproduce the experimental ion to oxygen distance, vibrational frequencies, and other structural properties. We report a new strategy to adjust the Lennard-Jones parameters of the metal ion in order to capture dynamic properties such as the residence time of the capping water (τ(m)). For the first time, the correct assessment of the τ(m) value for Gd-based complexes was possible by recording the dissociative events over up to 10 μs all-atom simulations. The MCPB.py tool allowed the accurate parametrization of [Gd(DOTA)](−) in a simpler procedure, and in this case, the dynamics of the water molecules in the outer hydration sphere was also characterized. This sphere was divided into the first hydration layer, an intermediate region, and an outer hydration layer, with a residence time of 18, 10 and 19 ps, respectively, independent of the nonbonded parameters chosen for Gd(3+). The Lennard-Jones parameters of Gd(3+) obtained here for [Gd(DOTA)](−) may be used with similarly structured gadolinium MRI contrast agents. This allows the use of molecular dynamics simulations to characterize and optimize the contrast agent properties. The characterization of their interaction with membranes and proteins will permit the design of new targeted contrast agents with improved pharmacokinetics. |
format | Online Article Text |
id | pubmed-9775472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97754722022-12-23 Modeling Gd(3+) Complexes for Molecular Dynamics Simulations: Toward a Rational Optimization of MRI Contrast Agents Oliveira, Alexandre C. Filipe, Hugo A. L. Ramalho, João P. Prates Salvador, Armindo Geraldes, Carlos F. G. C. Moreno, Maria João Loura, Luís M. S. Inorg Chem [Image: see text] The correct parametrization of lanthanide complexes is of the utmost importance for their characterization using computational tools such as molecular dynamics simulations. This allows the optimization of their properties for a wide range of applications, including medical imaging. Here we present a systematic study to establish the best strategies for the correct parametrization of lanthanide complexes using [Gd(DOTA)](−) as a reference, which is used as a contrast agent in MRI. We chose the bonded model to parametrize the lanthanide complexes, which is especially important when considering the study of the complex as a whole (e.g., for the study of the dynamics of its interaction with proteins or membranes). We followed two strategies: a so-called heuristic approach employing strategies already published by other authors and another based on the more recent MCPB.py tool. Adjustment of the Lennard-Jones parameters of the metal was required. The final topologies obtained with both strategies were able to reproduce the experimental ion to oxygen distance, vibrational frequencies, and other structural properties. We report a new strategy to adjust the Lennard-Jones parameters of the metal ion in order to capture dynamic properties such as the residence time of the capping water (τ(m)). For the first time, the correct assessment of the τ(m) value for Gd-based complexes was possible by recording the dissociative events over up to 10 μs all-atom simulations. The MCPB.py tool allowed the accurate parametrization of [Gd(DOTA)](−) in a simpler procedure, and in this case, the dynamics of the water molecules in the outer hydration sphere was also characterized. This sphere was divided into the first hydration layer, an intermediate region, and an outer hydration layer, with a residence time of 18, 10 and 19 ps, respectively, independent of the nonbonded parameters chosen for Gd(3+). The Lennard-Jones parameters of Gd(3+) obtained here for [Gd(DOTA)](−) may be used with similarly structured gadolinium MRI contrast agents. This allows the use of molecular dynamics simulations to characterize and optimize the contrast agent properties. The characterization of their interaction with membranes and proteins will permit the design of new targeted contrast agents with improved pharmacokinetics. American Chemical Society 2022-07-18 2022-08-01 /pmc/articles/PMC9775472/ /pubmed/35849762 http://dx.doi.org/10.1021/acs.inorgchem.2c01597 Text en © 2022 American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Oliveira, Alexandre C. Filipe, Hugo A. L. Ramalho, João P. Prates Salvador, Armindo Geraldes, Carlos F. G. C. Moreno, Maria João Loura, Luís M. S. Modeling Gd(3+) Complexes for Molecular Dynamics Simulations: Toward a Rational Optimization of MRI Contrast Agents |
title | Modeling Gd(3+) Complexes for Molecular Dynamics
Simulations: Toward a Rational Optimization of MRI Contrast Agents |
title_full | Modeling Gd(3+) Complexes for Molecular Dynamics
Simulations: Toward a Rational Optimization of MRI Contrast Agents |
title_fullStr | Modeling Gd(3+) Complexes for Molecular Dynamics
Simulations: Toward a Rational Optimization of MRI Contrast Agents |
title_full_unstemmed | Modeling Gd(3+) Complexes for Molecular Dynamics
Simulations: Toward a Rational Optimization of MRI Contrast Agents |
title_short | Modeling Gd(3+) Complexes for Molecular Dynamics
Simulations: Toward a Rational Optimization of MRI Contrast Agents |
title_sort | modeling gd(3+) complexes for molecular dynamics
simulations: toward a rational optimization of mri contrast agents |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775472/ https://www.ncbi.nlm.nih.gov/pubmed/35849762 http://dx.doi.org/10.1021/acs.inorgchem.2c01597 |
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