Molecular mechanical (MM) force fields are commonly employed for biomolecular simulations. Despite their success, the nonpolarizable nature of contemporary additive force fields limits their performance, especially in long simulations and when strong polarization effects are present. Guanine quadruplex D(R)NA molecules have been successfully studied by MM simulations in the past. However, the G-stems are stabilized by a chain of monovalent cations that create sizable polarization effects. Indeed, simulation studies revealed several problems that have been tentatively attributed to the lack of polarization. Here, we provide a detailed comparison between quantum chemical (QM) DFT-D3 and MM potential energy surfaces of ion binding to G-stems and assess differences that may affect MM simulations. We suggest that MM describes binding of a single ion to the G-stem rather well. However, polarization effects become very significant when a second ion is present. We suggest that the MM approximation substantially limits accuracy of description of energy and dynamics of multiple ions inside the G-stems and binding of ions at the stem-loop junctions. The difference between QM and MM descriptions is also explored using symmetry-adapted perturbation theory and quantum theory of atoms in molecules analyses, which reveal a delicate balance of electrostatic and induction effects.

We have created a benchmark set of quantum chemical structure-energy data denoted as UpU46, which consists of 46 uracil dinucleotides (UpU), representing all known 46 RNA backbone conformational families. Penalty-function-based restrained optimizations with COSMO TPSS-D3/def2-TZVP ensure a balance between keeping the target conformation and geometry relaxation. The backbone geometries are close to the clustering-means of their respective RNA bioinformatics family classification. High-level wave function methods (DLPNO-CCSD(T) as reference) and a wide-range of dispersion-corrected or inclusive DFT methods (DFT-D3, VV10, LC-BOP-LRD, M06-2X, M11, and more) are used to evaluate the conformational energies. The results are compared to the Amber RNA bsc0χOL3 force field. Most dispersion-corrected DFT methods surpass the Amber force field significantly in accuracy and yield mean absolute deviations (MADs) for relative conformational energies of ∼0.4-0.6 kcal/mol. Double-hybrid density functionals represent the most accurate class of density functionals. Low-cost quantum chemical methods such as PM6-D3H+, HF-3c, DFTB3-D3, as well as small basis set calculations corrected for basis set superposition errors (BSSEs) by the gCP procedure are also tested. Unfortunately, the presently available low-cost methods are struggling to describe the UpU conformational energies with satisfactory accuracy. The UpU46 benchmark is an ideal test for benchmarking and development of fast methods to describe nucleic acids, including force fields.