QM/MM-Based Fitting of Atomic Polarizabilities for Use in Condensed-Phase Biomolecular Simulation
Overview
Chemistry
Affiliations
Accounting for electronic polarization effects in biomolecular simulation (by using a polarizable force field) can increase the accuracy of simulation results. However, the use of gas-phase estimates of atomic polarizabilities αi usually leads to overpolarization in condensed-phase systems. In the current work, a combined QM/MM approach has been employed to obtain condensed-phase estimates of atomic polarizabilities for water and methanol (QM) solutes in the presence of (MM) solvents of different polarity. In a next step, the validity of the linear response and isotropy assumptions were evaluated based on the observed condensed-phase distributions of αi values. The observed anisotropy and low average values for the polarizability of methanol's carbon atom in polar solvents was explained in terms of strong solute-solvent interactions involving its adjacent hydroxyl group. Our QM/MM estimates for atomic polarizabilities were found to be close to values used in previously reported polarizable water and methanol models. Using our estimate for αO of methanol, a single set of polarizable force field parameters was obtained that is directly transferable between environments of different polarity.
Nochebuena J, Simmonett A, Cisneros G J Chem Phys. 2024; 160(17).
PMID: 38747990 PMC: 11223170. DOI: 10.1063/5.0200722.
Classical Exchange Polarization: An Anisotropic Variable Polarizability Model.
Chung M, Wang Z, Rackers J, Ponder J J Phys Chem B. 2022; 126(39):7579-7594.
PMID: 36166814 PMC: 10868659. DOI: 10.1021/acs.jpcb.2c04237.
Visscher K, Geerke D J Phys Chem B. 2020; 124(9):1628-1636.
PMID: 32073849 PMC: 7061328. DOI: 10.1021/acs.jpcb.9b10903.
Polarizable Force Fields for Biomolecular Simulations: Recent Advances and Applications.
Jing Z, Liu C, Cheng S, Qi R, Walker B, Piquemal J Annu Rev Biophys. 2019; 48:371-394.
PMID: 30916997 PMC: 6520134. DOI: 10.1146/annurev-biophys-070317-033349.
Visscher K, Geerke D J Chem Theory Comput. 2019; 15(3):1875-1883.
PMID: 30763086 PMC: 6581419. DOI: 10.1021/acs.jctc.8b01105.