In silico predictions of tablet density using a quantitative structure–property relationship model
Abstract
The purpose of this study was to explore the potential of a quantitative structure–property relationship (QSPR) model to predict tablet density. First, we calculated 3381 molecular descriptors for 81 active pharmaceutical ingredients (API). Second, we obtained data that were merged with a dataset including powder properties that we had constructed previously. Next, we prepared 81 types of tablet, each containing API, microcrystalline cellulose,...
Paper Details
Title
In silico predictions of tablet density using a quantitative structure–property relationship model
Published Date
Mar 1, 2019
Volume
558
Pages
351 - 356
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