Quantum chemical and molecular dynamics modelling of hydroxylated polybrominated diphenyl ethers

Literature Information

Publication Date 2017-09-25
DOI 10.1039/C7CP03471G
Impact Factor 3.676
Authors

Inna Ermilova, Samuel Stenberg, Alexander P. Lyubartsev


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Abstract

A series of 19 hydroxylated polybrominated diphenyl ethers (OH-PBDEs) have been studied using density functional theory (DFT) and molecular dynamics simulations with the purpose of investigating eventual correlations between their physicochemical properties and toxic action. Dissociation constants (pKa), solvation free energies and octanol–water partition coefficients (log P) have been computed. Additionally, metadynamics simulations of OH-PBDEs passing through a lipid bilayer have been carried out for four OH-PBDE species. No correlations between computed pKa values and toxicity data have been found. Medium correlations were found between partition coefficients and the ability of OH-PBDEs to alter membrane potential in cell cultures, which is attributed to higher uptake of molecules with larger log P parameters. It was also demonstrated that in lipid bilayers, OH-PBDE molecules differ in their orientational distributions and can adopt different conformations which can affect the uptake of these molecules and influence the pathways of their toxic action.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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