2018
DOI: 10.1021/acs.jcim.8b00616
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Improved Modeling of Halogenated Ligand–Protein Interactions Using the Drude Polarizable and CHARMM Additive Empirical Force Fields

Abstract: Halogenated ligands can participate in nonbonding interactions with proteins via halogen bond (XB) or halogen-hydrogen bond donor (X-HBD) interactions. In the context of molecular dynamics (MD) simulations, the accuracy of the simulations depends strongly on the force field (FF) used. To assure good reproduction of XB and X-HBD interactions with proteins, we optimized the previously developed additive CHARMM36/CHARMM General force field (CGenFF) and Drude polarizable force field by including atom pair-specific… Show more

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Cited by 29 publications
(31 citation statements)
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References 124 publications
(227 reference statements)
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“…Molecular mechanics (MM) minimum interaction energies and distances were determined using the QM gas phase optimized monomer structures from rigid scans with only the distance of interest varied, analogous to the first approach used in the QM calculations. As previously presented and in analogy to the QM calculations, the interactions energies are based on the total energy of the dimer minus the energy of the monomers following optimization of the Drude particle positions with the real atoms fixed. The minimization, which satisfies the Born‐Oppenheimer approximation, was performed using the steepest‐descent (SD) algorithm with a step size of 0.01 to a force gradient of 10 −2 kcal·mol −1 ·Å −1 followed by the adopted basis Newton–Raphson algorithm (ABNR) with a step size of 0.02 to a force gradient of 10 −5 kcal·mol −1 ·Å −1 to relax the Drude particles, while constraining all real atoms (e.g., applying the “CONS FIX” command in CHARMM) following which the constraints were removed, and the energies were calculated.…”
Section: Methodsmentioning
confidence: 99%
“…Molecular mechanics (MM) minimum interaction energies and distances were determined using the QM gas phase optimized monomer structures from rigid scans with only the distance of interest varied, analogous to the first approach used in the QM calculations. As previously presented and in analogy to the QM calculations, the interactions energies are based on the total energy of the dimer minus the energy of the monomers following optimization of the Drude particle positions with the real atoms fixed. The minimization, which satisfies the Born‐Oppenheimer approximation, was performed using the steepest‐descent (SD) algorithm with a step size of 0.01 to a force gradient of 10 −2 kcal·mol −1 ·Å −1 followed by the adopted basis Newton–Raphson algorithm (ABNR) with a step size of 0.02 to a force gradient of 10 −5 kcal·mol −1 ·Å −1 to relax the Drude particles, while constraining all real atoms (e.g., applying the “CONS FIX” command in CHARMM) following which the constraints were removed, and the energies were calculated.…”
Section: Methodsmentioning
confidence: 99%
“…Lone pairs (LPs) are an integral part of the Drude FF which further diverges the centrosymmetric‐nature common to most additive FFs. While the Drude FF still uses the Lennard–Jones term to treat van der Waals interactions, the inclusion of LJ parameters on LP and Drude particles introduces an effective asymmetry into the vdW representation . In addition, LJ parameters for specific atom pairs, termed atom‐pair specific LJ parameters (i.e., NBFIX in CHARMM nomenclature) have been used extensively to improve the treatment of nonbond interactions .…”
Section: Introductionmentioning
confidence: 99%
“…In addition, LJ parameters for specific atom pairs, termed atom‐pair specific LJ parameters (i.e., NBFIX in CHARMM nomenclature) have been used extensively to improve the treatment of nonbond interactions . Using these capabilities the Drude FF has been shown to perform better on halogenated species and on protein–halogen interactions as compared to additive FF . However, the Drude FF is relatively young in comparison to additive FFs and the range of chemical space covered is mainly associated with large biomolecules.…”
Section: Introductionmentioning
confidence: 99%
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