2023
DOI: 10.1021/acs.jctc.2c00975
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COGITO: A Coarse-Grained Force Field for the Simulation of Macroscopic Properties of Triacylglycerides

Abstract: The use of molecular dynamics simulations is becoming ever more widespread; however, the application of this to pure triacylglyceride (TAG) systems is not. In this study, we are presenting the development, and validation, of a new force field (FF), which we have called the COarse-Grained Interchangeable Triacylglyceride-Optimized FF. The FF has been developed using both a bottom-up and top-down approach for different parameters, with the non-bonded parameters being optimized using a Bayesian optimization metho… Show more

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Cited by 5 publications
(12 citation statements)
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“…Due to the non‐equilibrium nature of a melting simulation, an increased number of simulations per void size are required to estimate an accurate melting point, although we find that after 150 simulations the results are sufficiently converged. All simulations were carried out using the COGITO FF, 11 which has proven to be able to reproduce the thermodynamic melting point of various TAGs, despite not being specifically parameterized against this macroscopic property.…”
Section: Discussionmentioning
confidence: 99%
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“…Due to the non‐equilibrium nature of a melting simulation, an increased number of simulations per void size are required to estimate an accurate melting point, although we find that after 150 simulations the results are sufficiently converged. All simulations were carried out using the COGITO FF, 11 which has proven to be able to reproduce the thermodynamic melting point of various TAGs, despite not being specifically parameterized against this macroscopic property.…”
Section: Discussionmentioning
confidence: 99%
“…All simulations have been carried out using GROMACS 12 2021.3 with the COGITO FF 11 . All equilibrations were done using an NPT ensemble, using a time‐step of 25 fs and a pressure of 1.01325 bar using a v‐rescale thermostat and a Berendsen barostat.…”
Section: Methodsmentioning
confidence: 99%
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