Molecular dynamics simulations

Molecular dynamics simulations have become a standard tool for the investigation of biomolecules. Simulations are performed of ever bigger systems using more realistic boundary conditions and better sampling due to longer sampling times. Recently, realistic simulations of systems as complex as transmembrane channels have become feasible. Simulations aid our understanding of biochemical processes and give a dynamic dimension to structural data; for example, the transformation of harmless prion protein into the disease-causing agent has been modeled.     

Molecular dynamics simulations to determine the optimal loop length in the helix-loop-helix motif

In this study, 100 ps molecular dynamics simulations were conducted to determine the optimal length of the Gly loop in the helix-loop-helix motif. The results revealed that the length of the loop significantly affected the stability of the two alpha-helices. In addition, the optimal loop length to maintain the highest helicity of the target peptide was found to be the one corresponding to 7 Gly residues. Longer loop length resulted in structural destabilization due to the entropic effect, while shorter loop length was not suitable to achieve intrachain packing of the two alpha-helices.     

Molecular dynamics simulations of xDNA

xDNA is a modified DNA, which contains natural as well as expanded bases. Expanded bases are generated by the addition of a benzene spacer to the natural bases. A set of AMBER force‐field parameters were derived for the expanded bases and the structural dynamics of the xDNA decamer ( xT5 ′ G xT A xC xG C xA xG T3′ ) · ( xA5′ C T xG C G xT A xC A3′) was explored using a 22 ns molecular dynamics simulation in explicit solvent. During the simulation, the duplex retained its Watson‐Crick base‐pairing and double helical structure, with deviations from the starting B‐form geometry towards A‐form; the deviations are mainly in the backbone torsion angles and in the helical parameters. The sugar pucker of the residues were distributed among a variety of modes; C2′ endo, C1′ exo, O4′ endo, C4′ exo, C2′ exo, and C3′ endo. The enhanced stacking interactions on account of the modification in the bases could help to retain the duplex nature of the helix with minor deviations from the ideal geometry. In our simulation, the xDNA showed a reduced minor groove width and an enlarged major groove width in comparison with the NMR structure. Both the grooves are larger than that of standard B‐DNA, but major groove width is larger than that of A‐DNA with almost equal minor groove width. The enlarged groove widths and the possibility of additional hydration in the grooves makes xDNA a potential molecule for various applications. © 2009 Wiley Periodicals, Inc. Biopolymers 91: 351–360, 2009. This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com     

Molecular dynamics simulations of carrabiose

Molecular mechanics calculations have been performed for the disaccharide carrabiose, one of the repeat units of β-carrageenan, as a general model for the (1→4)-linkage in the carrageenans. An adiabatic conformational energy map for this unsulfated molecule was prepared by constrained energy minimization and compared to a previously reported rigid-residue energy map for the sulfated molecule and to a similar adiabatic map for neocarrabiose, the related (1→3)-linked dimer repeat unit of β-carrageenan. Molecular dynamics simulations of this molecule in vacuo and in an aqueous (TIP3P) solution were calculated, and the observed motions were found to be generally consistent with the vacuum adiabatic energy map. Unlike the case observed in previous simulations of neocarrabiose, little salvation shift in the molecular conformation was observed for carrabiose. From the dynamics, the linkage was observed to be relatively flexible, as has been inferred from experiment on sulfated carrageenan polymers. © 1997 John Wiley & Sons, Inc.     

Molecular dynamics simulations of metalloproteins

Molecular dynamics simulations are now commonly applied to metalloproteins, despite the challenges introduced by the presence of metal ions. Force field parameters are nowadays available also for these 'exotic' atoms and several biological systems have been successfully studied. Some of the most relevant results and methodological advancements are reviewed.     

Molecular dynamics simulations in photosynthesis

Photosynthesis Research - Photosynthesis is regulated by a dynamic interplay between proteins, enzymes, pigments, lipids, and cofactors that takes place on a large spatio-temporal scale. Molecular...     

Molecular dynamics simulations of membrane proteins

Membrane proteins control the traffic across cell membranes and thereby play an essential role in cell function from transport of various solutes to immune response via molecular recognition. Because it is very difficult to determine the structures of membrane proteins experimentally, computational methods have been increasingly used to study their structure and function. Here we focus on two classes of membrane proteins—ion channels and transporters—which are responsible for the generation of action potentials in nerves, muscles, and other excitable cells. We describe how computational methods have been used to construct models for these proteins and to study the transport mechanism. The main computational tool is the molecular dynamics (MD) simulation, which can be used for everything from refinement of protein structures to free energy calculations of transport processes. We illustrate with specific examples from gramicidin and potassium channels and aspartate transporters how the function of these membrane proteins can be investigated using MD simulations.     

Molecular dynamics simulations of beta-hairpin folding

Molecular dynamics simulations of beta-hairpin folding have been carried out with a solvent-referenced potential at 274 K. The model peptide V4DPGV4 formed stable beta-hairpin conformations and the beta-hairpin ratio calculated by the DSSP algorithm was about 56% in the 50-ns simulation. Folding into beta-hairpin conformations is independent of the initial conformations. The simulations provided insights into the folding mechanism. The hydrogen bond often formed in a beta-turn first, and then propagated by forming more hydrogen bonds along the strands. Unfolding and refolding occurred repeatedly during the simulations. Both the hydrogen bonding and the hydrophobic interaction played important roles in forming the ordered structure. Without the hydrophobic effect, stable beta-hairpin conformations did not form in the simulations. With the same energy functions, the alanine-based peptide (AAQAA)3Y folded into helical conformations, in agreement with experiments. Folding into an alpha-helix or a beta-hairpin is amino acid sequence-dependent.     

Molecular dynamics simulations of a helicase

Helicases are ubiquitous enzymes involved in nucleic acid metabolism. The PcrA DNA helicase is an essential bacterial protein involved in rolling circle plasmid replication and DNA repair. Recent crystal structures of PcrA bound to DNA indicate that a flexible loop mediates a functionally important rigid-body-domain rotation. In this study, we report stochastic boundary molecular dynamics simulations focused on this region for wild-type and mutants designed to increase the rigidity of the region. Residues in the region that were helix-disfavoring, such as glycine, threonine, and others, were mutated to alanine. The simulated dynamics, analyzed with a variety of measures of structure and mobility, indicate that a few point mutations will substantially increase helix formation in this region. Subnanosecond stochastic boundary molecular dynamics simulations at several temperatures offer a rapid protocol for assessing large numbers of mutants and provides a novel strategy for the design of experiments to test the role of this flexible loop region in the function of PcrA.     

Molecular dynamics simulations of human butyrylcholinesterase

Herein, we present results from molecular dynamics (MD) simulations of the human butyrylcholinesterase (BuChE) enzyme in aqueous solution. Two configurations of the unbound form of BuChE differing in the presence or absence of a sodium ion inside the protein gorge were simulated for 10 and 5 ns, respectively. Besides complementing the structural information provided by X-ray data, the MD simulations give insight into the structure of the native BuChE enzyme. For example, it is shown that: the nucleophilic Ser(198) residue and the various binding subsites in the BuChE catalytic cavity are readily accessible from the exterior of the protein; the presence of the sodium ion dynamically explores two different binding sites in the gorge leading to the active site and stabilizes the productive conformation of the Glu(325)/His(438)/Ser(198) catalytic triad; several long-lived water bridges are fully integrated into the architecture of the active site; the positions of the residues at the rim of the gorge region display large deviations with respect to the crystal structure; and two side doors, constituted by residues situated at the tip of the acyl- and Omega-loops, respectively, open wide enough to allow the passage of water molecules. In conclusion, we compare our theoretical results with those from previous work on mouse acetylcholinesterase and discuss their implications for substrate binding and catalysis in BuChE.     

Molecular dynamics simulations of lipid nanodiscs

A lipid nanodisc is a discoidal lipid bilayer stabilized by proteins, peptides, or polymers on its edge. Nanodiscs have two important connections to structural biology. The first is associated with high-density lipoprotein (HDL), a particle with a variety of functionalities including lipid transport. Nascent HDL (nHDL) is a nanodisc stabilized by Apolipoprotein A-I (APOA1). Determining the structure of APOA1 and its mimetic peptides in nanodiscs is crucial to understanding pathologies related to HDL maturation and designing effective therapies. Secondly, nanodiscs offer non-detergent membrane-mimicking environments and greatly facilitate structural studies of membrane proteins. Although seemingly similar, natural and synthetic nanodiscs are different in that nHDL is heterogeneous in size, due to APOA1 elasticity, and gradually matures to become spherical. Synthetic nanodiscs, in contrast, should be homogenous, stable, and size-tunable. This report reviews previous molecular dynamics (MD) simulation studies of nanodiscs and illustrates convergence and accuracy issues using results from new multi-microsecond atomistic MD simulations. These new simulations reveal that APOA1 helices take 10–20 μs to rearrange on the nanodisc, while peptides take 2 μs to migrate from the disc surfaces to the edge. These systems can also become kinetically trapped depending on the initial conditions. For example, APOA1 was trapped in a biologically irrelevant conformation for the duration of a 10 μs trajectory; the peptides were similarly trapped for 5 μs. It therefore remains essential to validate MD simulations of these systems with experiments due to convergence and accuracy issues. This article is part of a Special Issue entitled: Emergence of Complex Behavior in Biomembranes edited by Marjorie Longo.     

Molecular dynamics simulations of high-mannose oligosaccharides

Conformations of several high-mannose-type oligosaccharidesthat are generated during the biosynthetic degradation of Man₉GlcNAc₂to Man₅GlcNAc₂ have been studied by molecular dynamics (MD).Simulations were performed on NCI-FCRDC's Cray Y-MP 8D/8128supercomputer using Biosym's CVFF force field for 1000 Ps withdifferent initial conformations. The conformations of the two1,3- and the two 1,6-linkages in each oligomannose were different,suggesting that deriving oligosaccharide conformations basedon the conformational preferences of the constituent disaccharidefragments will not always yield correct results. Unlike otheroligomannoses, Man₉GlcNAc₂ appears to take more than one distinctconformation around the core 1,6-linkage. These various conformationsmay play an important role in determining the processing pathways.Using the data on the preferred conformations of these oligomannosesand the available experimental results, possible pathways forprocessing Man₉GlcNAc₂ to Man₅GlcNAc₂ by 1,2-linkage-specificmannosidases have been proposed. Conformational analysis ofMan₅GlcNAc₂ indicates that the addition of ß1,2-GlcNActo the 1,3-linked core mannose, besides serving as a prerequisitefor mannosidase II action as suggested earlier, may also preventthe removal of 1,3-mannose. The MD simulations also suggestthat the processing of the precursor oligosaccharide duringAsn-linked complex and hybrid glycan biosynthesis proceeds ina well-defined pathway involving more than one 1,2-linkage-specificmannosidase. Knowledge of the conformation of the processingintermediates obtained from the present study can be used todesign highly specific substrate analogues to inhibit a particularmannosidase, thereby blocking one processing pathway withoutinterfering with the others. carbohydrates conformation glycosidase inhibitors mannosidase oligosaccharide processing     

Molecular dynamics simulations of palmitoyloleoylphosphatidylglycerol bilayers

Phosphatidylglycerol (PG) is one of the important components of biological membranes, but there is a paucity of experimental data to test the accuracy of molecular dynamics (MD) simulations. This work consists of testing the accuracy of the CHARMM36 (C36) lipid force field on 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoglycerol (POPG) lipid bilayers. MD simulations of POPG lipid bilayers are compared to recently available X-ray and neutron scattering and deuterium NMR measurements. Overall, the C36 lipid force field accurately represents the X-ray and neutron form factors, bilayer and hydrocarbon thicknesses and chain deuterium order parameters. The surface area per lipid from MD simulations with C36 (67.7 ± 0.2 Å²) is in excellent agreement with the experimentally determined value of 66.0 ± 1.3 Å². C36 outperforms the lipid force field developed by Berger et al. [15] and suggests that past studies with this force field may result in lateral areas that are too small. Moreover, our studies give some insight into the structural model used in experiments and suggest that the functional form for the head group may not be Gaussian-like. Based on our simulations, the POPG lipid in the C36 lipid force field is well parameterised and can be used for other PG lipids and membrane models with mixed lipids.     

Molecular dynamics simulations of glycosyltransferase LgtC

Molecular dynamics simulations have been performed on fully solvated alpha-(1-->4)-galactosyltransferase LgtC from Neisseria meningitidis with and without the donor substrate UDP-Gal and in the presence of the manganese ion. The analysis of the trajectories revealed a limited movement in the loop X (residues 75-80) and a larger conformational change in the loop Y (residues 246-251) in the simulation, when UDP-Gal was not present. In this case, the loops X and Y open by almost 10A, exposing the active site to the solvent. The 'hinge region' responsible for the opening is composed of residues 246-247. We have also analyzed the behavior of the manganese ion in the simulations. The coordination number is 6 when UDP-Gal is present and it increases to 7 when it is absent. In the latter case, three water molecules become coordinated to the ion. In both cases, the coordination is very stable implying that the manganese ion is tightly bound in the active site of the enzyme even if UDP-Gal is not present. Further analysis of the structural water molecules location confirmed that the mobility of water molecules in the active site and the accessibility of this site for solvent are higher in the absence of the substrate.     

Molecular dynamics simulations and drug discovery

This review discusses the many roles atomistic computer simulations of macromolecular (for example, protein) receptors and their associated small-molecule ligands can play in drug discovery, including the identification of cryptic or allosteric binding sites, the enhancement of traditional virtual-screening methodologies, and the direct prediction of small-molecule binding energies. The limitations of current simulation methodologies, including the high computational costs and approximations of molecular forces required, are also discussed. With constant improvements in both computer power and algorithm design, the future of computer-aided drug design is promising; molecular dynamics simulations are likely to play an increasingly important role.     

Molecular dynamics simulations of Alzheimer's beta-amyloid protofilaments

Filamentous amyloid aggregates are central to the pathology of Alzheimer's disease. We use all-atom molecular dynamics (MD) simulations with explicit solvent and multiple force fields to probe the structural stability and the conformational dynamics of several models of Alzheimer's beta-amyloid fibril structures, for both wild-type and mutated amino acid sequences. The structural models are based on recent solid state NMR data. In these models, the peptides form in-register parallel beta-sheets along the fibril axis, with dimers of two U-shaped peptides located in layers normal to the fibril axis. Four different topologies are explored for stacking the beta-strand regions against each other to form a hydrophobic core. Our MD results suggest that all four NMR-based models are structurally stable, and we find good agreement with dihedral angles estimated from solid-state NMR experiments. Asp23 and Lys28 form buried salt-bridges, resulting in an alternating arrangement of the negatively and positively charged residues along the fibril axis that is reminiscent of a one-dimensional ionic crystal. Interior water molecules are solvating the buried salt-bridges. Based on data from NMR measurements and MD simulations of short amyloid fibrils, we constructed structural models of long fibrils. Calculated X-ray fiber diffraction patterns show the characteristics of packed beta-sheets seen in experiments, and suggest new experiments that could discriminate between various fibril topologies.