From Implicit to\nExplicit: An Interaction-Reorganization\nApproach to Molecular Solvation Energy

Accurate calculation of solvation energies has long fascinated\nresearchers, but complex interactions within bulk water molecules\npose significant challenges. Currently, molecular solvation energy\ncalculations are mostly based on implicit solvent approximations in\nwhich the solvent molecules are treated as continuum dielectric media.\nHowever, the implicit solvent approach is not ideal because it lacks\ncertain real solvation effects, such as that of the first solvation\nshell, etc. Here, we propose an explicit solvent approach, interaction-reorganization\nsolvation (IRS) method, for molecular solvation energy calculations.\nThe IRS approach achieves predictive accuracy comparable to that of\nthe widely recognized solvation model based on the density (SMD) method\nand is significantly more accurate than that of the Poisson–Boltzmann/generalized\nBorn surface area (PB/GBSA) methods. This is demonstrated in both\nthe correlation coefficient and the mean absolute error (MAE) with\nrespect to the experimental data. The IRS method is based on molecular\ndynamics simulation in explicit solvent and does not need to solve\nPoisson–Boltzmann or Schrödinger equations. On the other\nhand, the accuracy of the IRS method does depend on the accuracy of\nthe molecular force field used in MD simulations. We expect that the\nIRS method will be very useful for the solvation energy calculations\nof molecules.

Publication Details

Journal
Figshare
Published
2024-12-13
DOI
https://doi.org/10.1021/acs.jctc.4c01283.s001
Primary Topic
Spectroscopy and Quantum Chemical Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Implicit to\nExplicit: An Interaction-Reorganization\nApproach to Molecular Solvation Energy

Figshare
Spectroscopy and Quantum Chemical Studies
article

From Implicit to\nExplicit: An Interaction-Reorganization\nApproach to Molecular Solvation Energy

article en

Abstract

Accurate calculation of solvation energies has long fascinated\nresearchers, but complex interactions within bulk water molecules\npose significant challenges. Currently, molecular solvation energy\ncalculations are mostly based on implicit solvent approximations in\nwhich the solvent molecules are treated as continuum dielectric media.\nHowever, the implicit solvent approach is not ideal because it lacks\ncertain real solvation effects, such as that of the first solvation\nshell, etc. Here, we propose an explicit solvent approach, interaction-reorganization\nsolvation (IRS) method, for molecular solvation energy calculations.\nThe IRS approach achieves predictive accuracy comparable to that of\nthe widely recognized solvation model based on the density (SMD) method\nand is significantly more accurate than that of the Poisson–Boltzmann/generalized\nBorn surface area (PB/GBSA) methods. This is demonstrated in both\nthe correlation coefficient and the mean absolute error (MAE) with\nrespect to the experimental data. The IRS method is based on molecular\ndynamics simulation in explicit solvent and does not need to solve\nPoisson–Boltzmann or Schrödinger equations. On the other\nhand, the accuracy of the IRS method does depend on the accuracy of\nthe molecular force field used in MD simulations. We expect that the\nIRS method will be very useful for the solvation energy calculations\nof molecules.

Figshare
Affordable and clean energy
Openalex Percentile: Top 72%
Spectroscopy and Quantum Chemical Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.