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      Conformational energies of biomolecules in solution: Extending the MPCONF196 benchmark with explicit water molecules

      1 , 1 , 1
      Journal of Computational Chemistry
      Wiley

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          Abstract

          A prerequisite for the computational prediction of molecular properties like conformational energies of biomolecules is a reliable, robust, and computationally affordable method usually selected according to its performance for relevant benchmark sets. However, most of these sets comprise molecules in the gas phase and do not cover interactions with a solvent, even though biomolecules typically occur in aqueous solution. To address this issue, we introduce a with explicit water molecules solvated version of a gas‐phase benchmark set containing 196 conformers of 13 peptides and other relevant macrocycles, namely MPCONF196 [J. Řezáč et al., JCTC 2018, 14, 1254–1266], and provide very accurate PNO‐LCCSD(T)‐F12b/AVQZ' reference values. The novel solvMPCONF196 benchmark set features two additional challenges beyond the description of conformers in the gas phase: conformer–water and water–water interactions. The overall best performing method for this set is the double hybrid revDSDPBEP86‐D4/def2‐QZVPP yielding conformational energies of almost coupled cluster quality. Furthermore, some (meta‐)GGAs and hybrid functionals like B97M‐V and B97M‐D with a large basis set reproduce the coupled cluster reference with an MAD below 1 kcal mol . If more efficient methods are required, the composite DFT‐method rSCAN‐3c (MAD of 1.2 kcal mol) is a good alternative, and when conformational energies of polypeptides or macrocycles with more than 500–1000 atoms are in the focus, the semi‐empirical GFN2‐xTB or the MMFF94 force field (for very large systems) are recommended.

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            A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu.

            The method of dispersion correction as an add-on to standard Kohn-Sham density functional theory (DFT-D) has been refined regarding higher accuracy, broader range of applicability, and less empiricism. The main new ingredients are atom-pairwise specific dispersion coefficients and cutoff radii that are both computed from first principles. The coefficients for new eighth-order dispersion terms are computed using established recursion relations. System (geometry) dependent information is used for the first time in a DFT-D type approach by employing the new concept of fractional coordination numbers (CN). They are used to interpolate between dispersion coefficients of atoms in different chemical environments. The method only requires adjustment of two global parameters for each density functional, is asymptotically exact for a gas of weakly interacting neutral atoms, and easily allows the computation of atomic forces. Three-body nonadditivity terms are considered. The method has been assessed on standard benchmark sets for inter- and intramolecular noncovalent interactions with a particular emphasis on a consistent description of light and heavy element systems. The mean absolute deviations for the S22 benchmark set of noncovalent interactions for 11 standard density functionals decrease by 15%-40% compared to the previous (already accurate) DFT-D version. Spectacular improvements are found for a tripeptide-folding model and all tested metallic systems. The rectification of the long-range behavior and the use of more accurate C(6) coefficients also lead to a much better description of large (infinite) systems as shown for graphene sheets and the adsorption of benzene on an Ag(111) surface. For graphene it is found that the inclusion of three-body terms substantially (by about 10%) weakens the interlayer binding. We propose the revised DFT-D method as a general tool for the computation of the dispersion energy in molecules and solids of any kind with DFT and related (low-cost) electronic structure methods for large systems.
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              Density-functional thermochemistry. III. The role of exact exchange

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                Author and article information

                Contributors
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                Journal
                Journal of Computational Chemistry
                J Comput Chem
                Wiley
                0192-8651
                1096-987X
                March 15 2024
                November 19 2023
                March 15 2024
                : 45
                : 7
                : 419-429
                Affiliations
                [1 ] Mulliken Center for Theoretical Chemistry Clausius‐Institut für Physikalische und Theoretische Chemie, Universität Bonn Bonn Germany
                Article
                10.1002/jcc.27248
                19afd802-56b8-4797-9364-befb3a8b36e7
                © 2024

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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