Cargando…
Translation of Chemical Structure into Dissipative Particle Dynamics Parameters for Simulation of Surfactant Self-Assembly
[Image: see text] Dissipative particle dynamics (DPD) can be used to simulate the self-assembly properties of surfactants in aqueous solutions, but in order to simulate a new compound, a large number of new parameters are required. New methods for the calculation of reliable DPD parameters directly...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2021
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154614/ https://www.ncbi.nlm.nih.gov/pubmed/33848165 http://dx.doi.org/10.1021/acs.jpcb.1c00480 |
_version_ | 1783699055634808832 |
---|---|
author | Lavagnini, Ennio Cook, Joanne L. Warren, Patrick B. Hunter, Christopher A. |
author_facet | Lavagnini, Ennio Cook, Joanne L. Warren, Patrick B. Hunter, Christopher A. |
author_sort | Lavagnini, Ennio |
collection | PubMed |
description | [Image: see text] Dissipative particle dynamics (DPD) can be used to simulate the self-assembly properties of surfactants in aqueous solutions, but in order to simulate a new compound, a large number of new parameters are required. New methods for the calculation of reliable DPD parameters directly from chemical structure are described, allowing the DPD approach to be applied to a much wider range of organic compounds. The parameters required to describe the bonded interactions between DPD beads were calculated from molecular mechanics structures. The parameters required to describe the nonbonded interactions were calculated from surface site interaction point (SSIP) descriptions of molecular fragments that represent individual beads. The SSIPs were obtained from molecular electrostatic potential surfaces calculated using density functional theory and used in the SSIMPLE algorithm to calculate transfer free energies between different bead liquids. This approach was used to calculate DPD parameters for a range of different types of surfactants, which include ester, amide, and sugar moieties. The parameters were used to simulate the self-assembly properties in aqueous solutions, and comparison of the results for 27 surfactants with the available experimental data shows that these DPD simulations accurately predict critical micelle concentrations, aggregation numbers, and the shapes of the supramolecular assemblies formed. The methods described here provide a general approach to determining DPD parameters for neutral organic compounds of arbitrary structure. |
format | Online Article Text |
id | pubmed-8154614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-81546142021-05-27 Translation of Chemical Structure into Dissipative Particle Dynamics Parameters for Simulation of Surfactant Self-Assembly Lavagnini, Ennio Cook, Joanne L. Warren, Patrick B. Hunter, Christopher A. J Phys Chem B [Image: see text] Dissipative particle dynamics (DPD) can be used to simulate the self-assembly properties of surfactants in aqueous solutions, but in order to simulate a new compound, a large number of new parameters are required. New methods for the calculation of reliable DPD parameters directly from chemical structure are described, allowing the DPD approach to be applied to a much wider range of organic compounds. The parameters required to describe the bonded interactions between DPD beads were calculated from molecular mechanics structures. The parameters required to describe the nonbonded interactions were calculated from surface site interaction point (SSIP) descriptions of molecular fragments that represent individual beads. The SSIPs were obtained from molecular electrostatic potential surfaces calculated using density functional theory and used in the SSIMPLE algorithm to calculate transfer free energies between different bead liquids. This approach was used to calculate DPD parameters for a range of different types of surfactants, which include ester, amide, and sugar moieties. The parameters were used to simulate the self-assembly properties in aqueous solutions, and comparison of the results for 27 surfactants with the available experimental data shows that these DPD simulations accurately predict critical micelle concentrations, aggregation numbers, and the shapes of the supramolecular assemblies formed. The methods described here provide a general approach to determining DPD parameters for neutral organic compounds of arbitrary structure. American Chemical Society 2021-04-13 2021-04-22 /pmc/articles/PMC8154614/ /pubmed/33848165 http://dx.doi.org/10.1021/acs.jpcb.1c00480 Text en © 2021 The Authors. Published by American Chemical Society 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 | Lavagnini, Ennio Cook, Joanne L. Warren, Patrick B. Hunter, Christopher A. Translation of Chemical Structure into Dissipative Particle Dynamics Parameters for Simulation of Surfactant Self-Assembly |
title | Translation of Chemical Structure into Dissipative
Particle Dynamics Parameters for Simulation of Surfactant Self-Assembly |
title_full | Translation of Chemical Structure into Dissipative
Particle Dynamics Parameters for Simulation of Surfactant Self-Assembly |
title_fullStr | Translation of Chemical Structure into Dissipative
Particle Dynamics Parameters for Simulation of Surfactant Self-Assembly |
title_full_unstemmed | Translation of Chemical Structure into Dissipative
Particle Dynamics Parameters for Simulation of Surfactant Self-Assembly |
title_short | Translation of Chemical Structure into Dissipative
Particle Dynamics Parameters for Simulation of Surfactant Self-Assembly |
title_sort | translation of chemical structure into dissipative
particle dynamics parameters for simulation of surfactant self-assembly |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154614/ https://www.ncbi.nlm.nih.gov/pubmed/33848165 http://dx.doi.org/10.1021/acs.jpcb.1c00480 |
work_keys_str_mv | AT lavagniniennio translationofchemicalstructureintodissipativeparticledynamicsparametersforsimulationofsurfactantselfassembly AT cookjoannel translationofchemicalstructureintodissipativeparticledynamicsparametersforsimulationofsurfactantselfassembly AT warrenpatrickb translationofchemicalstructureintodissipativeparticledynamicsparametersforsimulationofsurfactantselfassembly AT hunterchristophera translationofchemicalstructureintodissipativeparticledynamicsparametersforsimulationofsurfactantselfassembly |