2018
DOI: 10.1021/acs.jctc.8b00992
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Adsorption of Amino Acids on Gold: Assessing the Accuracy of the GolP-CHARMM Force Field and Parametrization of Au–S Bonds

Abstract: The interaction of amino acids with metal electrodes plays a crucial role in bioelectrochemistry and the emerging field of bionanoelectronics. Here we present benchmark calculations of the adsorption structure and energy of all natural amino acids on Au(111) in vacuum using a van-der-Waals density functional (revPBE-vdW) that showed good performance on the S22 set of weakly bound dimers (mean relative unsigned error (MRUE) wrt CCSD(T)/CBS = 13.3%) and adsorption energies of small organic molecules on Au(111) (… Show more

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Cited by 25 publications
(27 citation statements)
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“…The adsorption of the S87C mutant on the Au(111) surface, which is the predominant orientation of the polycrystalline Au thin films, was simulated by the GolP-CHARMM force field, 34 , 35 capturing the image charge effects and providing thus fairly good adsorption structures and energies. 36 The adsorption structures generated could be clustered in two groups: the “standing” configuration where the heme chain is orthogonal to the gold surface and the “lying” configuration where the heme chain is parallel to the surface ( Figure 2 a). From these, only the lying structures are within the experimental range 2.4 ± 0.5 nm of monolayer thickness 22 (blue area in Figure 2 a).…”
mentioning
confidence: 99%
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“…The adsorption of the S87C mutant on the Au(111) surface, which is the predominant orientation of the polycrystalline Au thin films, was simulated by the GolP-CHARMM force field, 34 , 35 capturing the image charge effects and providing thus fairly good adsorption structures and energies. 36 The adsorption structures generated could be clustered in two groups: the “standing” configuration where the heme chain is orthogonal to the gold surface and the “lying” configuration where the heme chain is parallel to the surface ( Figure 2 a). From these, only the lying structures are within the experimental range 2.4 ± 0.5 nm of monolayer thickness 22 (blue area in Figure 2 a).…”
mentioning
confidence: 99%
“…This structure was chemisorbed to the surface by specifying a covalent interaction between the sulfur atom of Cys-87 and gold using the Au–S covalent interaction parameters fitted previously to DFT calculations at the van der Waals density functional level. 36 To complete the structural model of the junction, the top electrode contact was placed at close contact with the upper protein surface. After protein relaxation, the distance between the two electrodes was varied until the local pressure tensor in the protein region integrated to zero.…”
mentioning
confidence: 99%
“…Such practice has also been adopted in previous studies of GNP interacting with organic molecules. 21,23,24,[27][28][29][30] The technical details of the MD simulations are given in Supplementary Material. The relevant properties of the systems, such as energetic properties, radial distribution function, and self-diffusion coefficient of solvent, were analyzed using tools available in the GROMACS software package.…”
Section: B Computational Strategymentioning
confidence: 99%
“…This force field has been demonstrated to perform well for the surface interaction with small representative molecules, such as water, imidazole and phenol. This force field has also been further refined to include more specific corrections to the interaction of the gold surface with proteins, 27 sulfur, 28 and nucleobases. 20,29 Recently, Clabaut et al 30 have also developed a new force field for noble metal interfaces, called GAL19, to represent ten different facets of interfaces.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4] Whether based on training by ab-initio references or experimental properties, or-recently-machine learned models, force fields allow molecular simulations of systems that are too large for treatment with explicit electronic structure methods. They have been used very successfully for the simulation of biological systems, [5][6][7] catalysis, 8,9 and energy conversion materials like batteries 10,11 or organic semiconductors. 12,13 In all cases, the accuracy of force field approaches rests critically on their ability to represent the different types of interaction between atoms or molecules.…”
Section: Introductionmentioning
confidence: 99%