1 / 15

Ion Solvation Thermodynamics from Simulation with a Polarizable Force Field

Alan Grossfeild Pengyu Ren Jay W. Ponder. Ion Solvation Thermodynamics from Simulation with a Polarizable Force Field . Gaurav Chopra 07 February 2005 CS 379 A. Ion Solvation : Why do we care?. Ion Solvation: Relative stability of ions as a function of solvent and force field

morwen
Download Presentation

Ion Solvation Thermodynamics from Simulation with a Polarizable Force Field

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Alan Grossfeild Pengyu Ren Jay W. Ponder Ion Solvation Thermodynamics from Simulation with a Polarizable Force Field Gaurav Chopra 07 February 2005 CS 379 A

  2. Ion Solvation : Why do we care? • Ion Solvation: Relative stability of ions as a function of solvent and force field • Surface & environmental chemistry • Study of molecules such as surfactants, colloids and polyelectrolyte • Biologically: Structure and function of nucleic acids, proteins and lipid membranes • Thermodynamics: Development of continuum solvation models – Interested in Free Energy of Solvation for individual ionic species

  3. Why Simulate? • Motivation: Solvation free energy of salts known experimentally but cannot separate into individual contributions of ions • Molecular dynamics used to resolve this using Polarizable Force Field (AMOEBA) • Simulations with CHARMM27 and OPLS-AA done for comparison • Ions: K+, Na+ and Cl- • Solvent: Water (TIP3P model for non-polarizable force field) and Formamide

  4. Molecular Model and Force Field N-body Problem Non-bonded two body interactions Inclusion of Polarization: e.g. binding of a charged ligand polarizes receptor part -by inducing point dipoles -by changing the magnitude of atomic charges -by changing the position of atomic charges 3N x 3N Matrix

  5. Summary of the paper • Experiments and standard molecular mechanics force fields (non-polarizable) cannot give correct values for ion solvation free energy for an ion • AMOEBA parameters reproduce in vacuo quantum mechanical results, experimental ion-cluster solvation enthalpies, and experimental solvation energies for whole salt • Result: Best estimation of ion-solvation free energy for ions using AMOEBA

  6. AMOEBA VdW parameters: • High-level QM (Na+, K+) • Experimental Cluster Hydration enthalpies combined with solvent parameters using neat-liquid and gas-phase cluster simulation (Cl-)

  7. Force Field Parameters • AMOEBA Force Field • Each atom has a permanent partial charge, dipole and quadrupole moment • Represents electronic many-body effects • Self-consistent dipole polarization procedure • Repulsion-dispersion interaction between pairs of non-bonded atoms uses buffered 14-7 potential • AMOEBA dipole Polarizabilities of Potassium, sodium and chloride ions is set to 0.78, 0.12 and 4.00 cubic Ang.

  8. Cluster Calculations • Stochastic Molecular dynamics of clusters of 1-6 water molecules with a single chloride ion • Velocity Verlet implementation of Langevin dynamics used to integrate equations of motion Hydration enthalpy of water molecules n = number of water molecules <E(n,Cl)> = average potential energy over simulations with n waters and a chloride ion

  9. Molecular Dynamics and Free Energy Simulation For each value of l energy minimization is performed until RMS gradient per atom is less than 1 kcal/(mol A) • AMOEBA took more than 7 days, OPLS-AA and CHARMM27 took less than a day • Final structure for l = 1 particle growth simulation used as starting structure for each trajectory in the charging portion E = potential energy of system Statistical Uncertainity N = number of points in time series s = statistical efficiency

  10. Ion Solvent Dimers Results • Gas-phase behavior gives ion-solvent interaction without statistical sampling • High level QM only possible for gas phase unless implicit solvent model used • Table 2: Overestimated values • Ion-oxygen separation > 2.3 Ang.: less electrostatic attraction than TIP3P water • Molecular orbital calculations problematic for chloride

  11. Cation-Amide Dimers Results

  12. Chloride-Water Clusters Results Van der Waals parameters for chloride ion compared with enthalpy of formation of chloride-water dimer as molecular orbital calculations is problematic

  13. Ion Solvation Results

  14. Solvent Structure around ions g(r) = radial distribution function

  15. To quote Albert Einstein: The properties of water [and aqueous solutions] are not only strange but perhaps stranger than what we can conceive Q & A

More Related