What is PharmSD

Solid dispersion is an effective way to improve the dissolution and oral bioavailability of water-insoluble drugs. In order to obtain an effective solid dispersion formulation, researchers need to evaluate a series of important properties of the designed formulation, including in vitro dissolution and physical stability of solid dispersion.

Here, we developed a formulation prediction platform of solid dispersion: PharmSD. Based on the advanced machine learning algorithm, several key properties related with solid dispersion could be rapidly evaluated just by clicking mouse.


Predict the drug dissolution type and dissolution rate at 5, 10, 15, 20, 30, 45, 60 minutes combined with 26 polymers respectively.

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Physical stability

Predict the physical stability of solid dispersion formulation, It provides the stability information of the query drug against 25 kinds of polymers.

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Useful tools aim to assist the virtual evaluation of solid dispersion, including application domain analysis and f2 calculation.

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Please cite:

  1. J Dong, HL Gao, D Ouyang. PharmSD: A novel AI-based computational platform for solid dispersion formulation design. International Journal of Pharmaceutics, 2021, 120705 PubMed
  2. HL Gao, W Wang, J Dong, et al. An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design. European Journal of Pharmaceutics and Biopharmaceutics : Official Journal of the International Association for Pharmaceutical Technology. 2021 Jan;158:336-346. PubMed
  3. R Han, H Xiong, Z Ye, et al. Predicting physical stability of solid dispersions by machine learning techniques. Journal of Controlled Release, 2019, 311–312:16-25. PubMed