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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Ertürk, Emre |
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| Petrov, R. H. | Madrid |
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| Azam, Siraj |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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Antipas, Georgios
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document
Digital twin on the cloud: system-agnostic prediction of pharmaceutical placebo stability via computing-as-a-service and experimental validation
Abstract
<jats:title>Abstract</jats:title><jats:p>We applied computing-as-a-service to the unattended, system-agnostic, thermodynamic stability prediction of Vitamin E TPGS and Tween 80 pharmaceutical mixtures with a Copovidone VA64 polymer. The computing scheme involved a massively parallelized architecture for molecular dynamics and free energy perturbation from which binodal, spinodal and mechanical mixture critical points were detected on molar Gibbs free energy profiles at a hot melt extrusion temperature of 180 ˚C. We established tight agreement between the computed stability limits of 9.0 and 10.0 wt% vs. the experimental 7 and 9 wt% for the Vitamin E TPGS and Tween 80 systems, respectively, and determined different destabilizing mechanisms applicable to each system. This paradigm supports that computational stability screening may serve as a physically meaningful, resource-efficient, and operationally sensible digital twin to experimental stress-tests of pharmaceutical delivery systems.</jats:p>