Introducing Charge Hydration Asymmetry into the Generalized Born Model

• Published in: Journal of chemical theory and computation Vol. 10; no. 4; pp. 1788 - 1794
• Main Authors: Mukhopadhyay, Abhishek, Aguilar, Boris H, Tolokh, Igor S, Onufriev, Alexey V
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 08.04.2014
• ISSN: 1549-9618; 1549-9626
• DOI: 10.1021/ct4010917

The effect of charge hydration asymmetry (CHA)non-invariance of solvation free energy upon solute charge inversionis missing from the standard linear response continuum electrostatics. The proposed charge hydration asymmetric–generalized Born (CHA–GB) approximation introduces this effect into the popular generalized Born (GB) model. The CHA is added to the GB equation via an analytical correction that quantifies the specific propensity of CHA of a given water model; the latter is determined by the charge distribution within the water model. Significant variations in CHA seen in explicit water (TIP3P, TIP4P-Ew, and TIP5P-E) free energy calculations on charge-inverted “molecular bracelets” are closely reproduced by CHA–GB, with the accuracy similar to models such as SEA and 3D-RISM that go beyond the linear response. Compared against reference explicit (TIP3P) electrostatic solvation free energies, CHA–GB shows about a 40% improvement in accuracy over the canonical GB, tested on a diverse set of 248 rigid small neutral molecules (root mean square error, rmse = 0.88 kcal/mol for CHA–GB vs 1.24 kcal/mol for GB) and 48 conformations of amino acid analogs (rmse = 0.81 kcal/mol vs 1.26 kcal/mol). CHA–GB employs a novel definition of the dielectric boundary that does not subsume the CHA effects into the intrinsic atomic radii. The strategy leads to finding a new set of intrinsic atomic radii optimized for CHA–GB; these radii show physically meaningful variation with the atom type, in contrast to the radii set optimized for GB. Compared to several popular radii sets used with the original GB model, the new radii set shows better transferability between different classes of molecules.