July 29, 2025Chemical ReviewsOpen Access

Physics-Based Solubility Prediction for Organic Molecules

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Authors

DFDaniel J. FowlesUniversity of Strathclyde BCBenedict J. ConnaughtonUniversity of St Andrews JCJames W. CarterUniversity of Strathclyde

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Implication

This review highlights advances in computational approaches for predicting solubility in organic molecules, indicating implications for the pharmaceutical industry.

Key Points

Accurate solubility prediction is crucial in fields like pharmaceuticals, especially where low solubility affects drug development.
Physics-based methods provide reliable predictions and thermodynamic data, aiding in the optimization of molecular structures.
While experimental measurements are common, they are often slow and inefficient, driving the need for computational techniques.
Ongoing research continues to explore the strengths and weaknesses of various solubility prediction approaches, enhancing practical applications.

Cite This Study

Fowles et al. (2025) studied this question.

synapsesocial.com/papers/689a093fe6551bb0af8cec9c https://doi.org/10.1021/acs.chemrev.4c00855

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Implication

This review highlights advances in computational approaches for predicting solubility in organic molecules, indicating implications for the pharmaceutical industry.

Physics-Based Solubility Prediction for Organic Molecules

Discussion

Member takes

Implication

Key Points

Cite This Study

Physics-Based Solubility Prediction for Organic Molecules

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider