Using the method of solvation Conductor-like Polarizable Continuum Model (C-PCM) and the method of Amovilli-Menucci contained in the GAMESS-US package, were estimated the electrostatic, dispersion and repulsion free energies of organic molecules in 1-octanol and water. The calculations of solvation in water and 1-octanol were performed using the method C-PCM//PBE-VWN/6-31G (2p, 2d), to determine the electrostatic contribution to the solvation free energy. Consequently, using the concept of structure-property relationship was obtained a QSPR model to estimate the cavitation free energies of organic molecules with the experimental solvation free energies. Additionally, with the surface atomics (C, H, N and O) of the atoms that conform to the organic molecules calculated by the method GEPOL-GB, the electrostatic free energies, and non-bonding free energies, two QSPR models were constructed to predict the 1‑octanol/water partition coefficient (logP) for neutral organic molecules containing a single functional group from the following classes: alcohols, ketones, aldehydes, carboxylic acids, esters, ethers, amines, alkanes (linear and cyclic), and aromatic compounds. Model A, which uses electrostatic free energies and atomic surface areas, achieved a correlation coefficient of R² = 0.991, while Model B, which incorporates non-bonding free energies, achieved R² = 0.986. The applicability domain of the models is explicitly defined for monofunctional compounds at infinite dilution and 298.15 K.
The generalized PB theory is validated using a perturbed two-atom system and a diverse set of proteins with different structures in vacuum and water, demonstrating its accuracy and robustness, regardless of the choice of sharp-interface and diffuse-interface PB models and different numerical solvers.
Matthias Dogbatsey, Yuanzhen Shao, Emil Alexov et al.· 0 citations
We propose an improved model, termed the gradient-corrected PCM (GCPCM), for improving the energy accuracy of the polarizable continuum model (PCM). Our previous study revealed deficiencies of PCM in describing the reaction field, i.e., the electrostatic potential generated by the solvent. These deficiencies can be par...
Y. Kanamaru, Norio Yoshida, Toru Matsui· Journal of Chemical Theory a...· 0 citations
In our previous work, we established a predictive QSPR (Quantitative Structure-Property Relationship) model for the water/octanol partition coefficient, based on electronic energy (ET), LUMO (Lowest Unoccupied Molecular Orbital) energy, and the energy gap (ΔEgap). This model has been shown to be suitable for predicting...
Fatogoma Diarrassouba, Cheickna Cisse, K. Bamba et al.· International Research Journ...· 0 citations
The inclusion of dispersion effects is important in density-functional theory (DFT) to model non-covalent interactions correctly, a task that is essential in many applications of the theory. Many dispersion functionals have been proposed in the past. The exchange-hole dipole moment (XDM) model combines the simplicity o...
Accurate prediction of solubility is crucial in various fields, including pharmaceuticals, environmental chemistry, and materials science. In this study, we demonstrate the application of Adaptive Force Matching (AFM) to predict the solubility of molecular liquids in water. By developing high-quality force fields using...
Raymond Weldon, Feng Wang· Journal of Chemical Physics· 0 citations
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