QM/MM Calculations on Protein-RNA Complexes: Understanding Limitations of Classical MD Simulations and Search for Reliable Cost-Effective QM Methods
Language English Country United States Media print-electronic
Document type Journal Article
- MeSH
- Bacillus subtilis chemistry metabolism MeSH
- Bacterial Proteins chemistry metabolism MeSH
- Quantum Theory MeSH
- Humans MeSH
- Ribonucleoprotein, U1 Small Nuclear chemistry metabolism MeSH
- RNA-Binding Proteins chemistry metabolism MeSH
- RNA chemistry metabolism MeSH
- Molecular Dynamics Simulation * economics MeSH
- Software MeSH
- Hydrogen Bonding MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Bacterial Proteins MeSH
- Ribonucleoprotein, U1 Small Nuclear MeSH
- RNA-Binding Proteins MeSH
- RNA MeSH
- U1A protein MeSH Browser
Although atomistic explicit-solvent Molecular Dynamics (MD) is a popular tool to study protein-RNA recognition, satisfactory MD description of protein-RNA complexes is not always achieved. Unfortunately, it is often difficult to separate MD simulation instabilities primarily caused by the simple point-charge molecular mechanics (MM) force fields from problems related to the notorious uncertainties in the starting structures. Herein, we report a series of large-scale QM/MM calculations on the U1A protein-RNA complex. This experimentally well-characterized system has an intricate protein-RNA interface, which is very unstable in MD simulations. The QM/MM calculations identify several H-bonds poorly described by the MM method and thus indicate the sources of instabilities of the U1A interface in MD simulations. The results suggest that advanced QM/MM computations could be used to indirectly rationalize problems seen in MM-based MD simulations of protein-RNA complexes. As the most accurate QM method, we employ the computationally demanding meta-GGA density functional TPSS-D3(BJ)/def2-TZVP level of theory. Because considerably faster methods would be needed to extend sampling and to study even larger protein-RNA interfaces, a set of low-cost QM/MM methods is compared to the TPSS-D3(BJ)/def2-TZVP data. The PBEh-3c and B97-3c density functional composite methods appear to be suitable for protein-RNA interfaces. In contrast, HF-3c and the tight-binding Hamiltonians DFTB3-D3 and GFN-xTB perform unsatisfactorily and do not provide any advantage over the MM description. These conclusions are supported also by similar analysis of a simple HutP protein-RNA interface, which is well-described by MD with the exception of just one H-bond. Some other methodological aspects of QM/MM calculations on protein-RNA interfaces are discussed.
References provided by Crossref.org
Structural and dynamic effects of pseudouridine modifications on noncanonical interactions in RNA
In Vitro Evolution Reveals Noncationic Protein-RNA Interaction Mediated by Metal Ions
Improving the Performance of the Amber RNA Force Field by Tuning the Hydrogen-Bonding Interactions