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. 2023 Dec 28;16(1):0. doi: 10.3390/pharmaceutics16010050

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© 2023 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Predicting the FASA_p from 2-D molecular properties. Predicted values of FASA_p are compared to those from the simulation, with $ρ$ representing the Pearson correlation between the two datasets.