Most cited article - PubMed ID 38451169
Building Water Models Compatible with Charge Scaling Molecular Dynamics
Salt bridges are ionic interactions that are of great importance in protein recognition. However, their structural description using X-ray crystallography or NMR may be inconclusive. Classical molecular dynamics (MD) used for the interpretation neglects electronic polarization, which results in artifactual overbinding. Here, we resolve the problem via charge scaling, which accounts for electronic polarization in a mean-field way. We study three salt bridges in insulin analogue. New NMR ensembles are generated via NOE-restrained MD using ff19SB and CHARMM36m force fields and the scaled-charge prosECCo75. Tens of μs of unrestrained MD show in a statistically converged manner that ff19SB induces a non-native salt bridge. This behavior is quantified via umbrella sampling of salt bridge dissociation, which indicates a rather high strength of up to 4 and 5 kcal mol-1 for CHARMM36m and ff19SB, respectively. In contrast, prosECCo75 gives a biologically reasonable dissociation barrier of 1 kcal mol-1. Our results indicate that a physically justified description of charge-charge interactions within a nonpolarizable MD framework reliably describes aqueous biomolecular systems.
- Publication type
- Journal Article MeSH
Cation-π interactions involving the tetramethylammonium motif are prevalent in biological systems, playing crucial roles in membrane protein function, DNA expression regulation, and protein folding. However, accurately modeling cation-π interactions where electronic polarization plays a critical role is computationally challenging, especially in large biomolecular systems. This study implements a physically justified electronic continuum correction (ECC) to the CHARMM36 force field, scaling ionic charges by a factor of 0.75 to effectively account for electronic polarization without additional computational overhead. This approach, while not specifically designed for cation-π interactions, is shown here to significantly improve predictions of the structure of an aqueous tetramethylammonium-pyridine complex as compared to neutron diffraction data. This result, together with computational predictions for the structure of the aqueous tetramethylammonium-phenol complex, underscores the potential of ECC as a versatile method to improve the description of cation-π interactions in biomolecular simulations.
- MeSH
- Cations chemistry MeSH
- Quaternary Ammonium Compounds * chemistry MeSH
- Neutron Diffraction MeSH
- Molecular Dynamics Simulation * MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Cations MeSH
- Quaternary Ammonium Compounds * MeSH
- tetramethylammonium MeSH Browser
Glycosaminoglycans (GAGs) are negatively charged polysaccharides found on cell surfaces, where they regulate transport pathways of foreign molecules toward the cell. The structural and functional diversity of GAGs is largely attributed to varied sulfation patterns along the polymer chains, which makes understanding their molecular recognition mechanisms crucial. Molecular dynamics (MD) simulations, thanks to their unmatched microscopic resolution, have the potential to be a reference tool for exploring the patterns responsible for biologically relevant interactions. However, the capability of molecular dynamics force fields used in biosimulations to accurately capture sulfation-specific interactions is not well established, partly due to the intrinsic properties of GAGs that pose challenges for most experimental techniques. In this work, we evaluate the performance of molecular dynamics force fields for sulfated GAGs by studying ion pairing of Ca2+ to sulfated moieties─N-methylsulfamate and methylsulfate─that resemble N- and O-sulfation found in GAGs, respectively. We tested available nonpolarizable (CHARMM36 and GLYCAM06) and explicitly polarizable (Drude and AMOEBA) force fields, and derived new implicitly polarizable models through charge scaling (prosECCo75 and GLYCAM-ECC75) that are consistent with our developed "charge-scaling" framework. The calcium-sulfamate/sulfate interaction free energy profiles obtained with the tested force fields were compared against reference ab initio molecular dynamics (AIMD) simulations, which serve as a robust alternative to experiments. AIMD simulations indicate that the preferential Ca2+ binding mode to sulfated GAG groups is solvent-shared pairing. Only our scaled-charge models agree satisfactorily with the AIMD data, while all other force fields exhibit poorer agreement, sometimes even qualitatively. Surprisingly, even explicitly polarizable force fields display a notable disagreement with the AIMD data, likely attributed to difficulties in their optimization and possible inherent limitations in depicting high-charge-density ion interactions accurately. Finally, the underperforming force fields lead to unrealistic aggregation of sulfated saccharides, which qualitatively disagrees with our understanding of the soft glycocalyx environment. Our results highlight the importance of accurately treating electronic polarization in MD simulations of sulfated GAGs and caution against over-reliance on currently available models without thorough validation and optimization.
- MeSH
- Glycosaminoglycans * chemistry MeSH
- Sulfonic Acids chemistry MeSH
- Molecular Dynamics Simulation * MeSH
- Sulfates * chemistry MeSH
- Static Electricity * MeSH
- Calcium chemistry MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Glycosaminoglycans * MeSH
- Sulfonic Acids MeSH
- Sulfates * MeSH
- sulfamic acid MeSH Browser
- Calcium MeSH
prosECCo75 is an optimized force field effectively incorporating electronic polarization via charge scaling. It aims to enhance the accuracy of nominally nonpolarizable molecular dynamics simulations for interactions in biologically relevant systems involving water, ions, proteins, lipids, and saccharides. Recognizing the inherent limitations of nonpolarizable force fields in precisely modeling electrostatic interactions essential for various biological processes, we mitigate these shortcomings by accounting for electronic polarizability in a physically rigorous mean-field way that does not add to computational costs. With this scaling of (both integer and partial) charges within the CHARMM36 framework, prosECCo75 addresses overbinding artifacts. This improves agreement with experimental ion binding data across a broad spectrum of systems─lipid membranes, proteins (including peptides and amino acids), and saccharides─without compromising their biomolecular structures. prosECCo75 thus emerges as a computationally efficient tool providing enhanced accuracy and broader applicability in simulating the complex interplay of interactions between ions and biomolecules, pivotal for improving our understanding of many biological processes.
