2022
DOI: 10.1016/j.ijpharm.2021.121360
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Pharmaceutical profiling and molecular dynamics simulations reveal crystallization effects in amorphous formulations

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Cited by 9 publications
(3 citation statements)
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“…Self-aggregation of the APIs within the micelles may also be insufficient for recrystallization. In a study by Edueng et al clustering of probucol molecules in an amorphous solid dispersion did not lead to crystal formation [73]. Thus, multiple factors together define the fate of a drug solubilized in intestinal fluid colloids, many of which can potentially be addressed with MD simulations.…”
Section: Discussionmentioning
confidence: 99%
“…Self-aggregation of the APIs within the micelles may also be insufficient for recrystallization. In a study by Edueng et al clustering of probucol molecules in an amorphous solid dispersion did not lead to crystal formation [73]. Thus, multiple factors together define the fate of a drug solubilized in intestinal fluid colloids, many of which can potentially be addressed with MD simulations.…”
Section: Discussionmentioning
confidence: 99%
“…Experimental techniques often cannot approach the resolution at a scale of nanometers or nano- and micro-seconds. Computer simulations, and molecular dynamics (MD) in particular, can then serve as a useful tool to provide molecular-level information about drug–excipient interactions. , Wide spectra of MD simulations, ranging from all-atom resolution and up to significantly coarse-grained models, allows for studying miscibility, mobility, solubility, hydrogen-bond formation, effect of surfactants, and dynamics of the entire system. Such knowledge can then facilitate optimization of the current ASDs and development of new formulations. Among other advantages of MD, there is an ability to a better system control in the simulations than during the experiment, including moisture, temperature, and other factors that could have an effect on the experiment.…”
Section: Introductionmentioning
confidence: 99%
“… 13 , 14 Wide spectra of MD simulations, ranging from all-atom resolution and up to significantly coarse-grained models, allows for studying miscibility, mobility, solubility, hydrogen-bond formation, effect of surfactants, and dynamics of the entire system. 15 17 Such knowledge can then facilitate optimization of the current ASDs and development of new formulations. Among other advantages of MD, there is an ability to a better system control in the simulations than during the experiment, including moisture, temperature, and other factors that could have an effect on the experiment.…”
Section: Introductionmentioning
confidence: 99%