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.