Revisiting the General Solubility Equation explores new approaches to improving the in-silico prediction of aqueous solubility, a critical property in pharmaceutical drug discovery and formulation development. The study evaluates the widely used General Solubility Equation (GSE) and demonstrates that incorporating Topological Polar Surface Area (TPSA) alongside traditional descriptors improves the accuracy of solubility predictions across diverse chemical compounds. The findings highlight the value of computational modeling for accelerating early-stage drug development, supporting virtual compound screening, and improving decision-making during pharmaceutical research and formulation design.
