Molecular dynamics simulations of the TrkH membrane protein

TrkH is a transmembrane protein that mediates uptake of K(+) through the cell membrane. Despite the recent determination of its crystallographic structure, the nature of the permeation mechanism is still unknown, that is, whether K(+) ions move across TrkH by active transport or passive diffusion. Here, molecular dynamics simulations and the umbrella sampling technique have been employed to shed light on this question. The existence of binding site S3 and two alternative binding sites have been characterized. Analysis of the coordination number renders values that are almost constant, with a full contribution from the carbonyls of the protein only at S3. This observation contrasts with observations of K(+) channels, where the contribution of the protein to the coordination number is roughly constant in all four binding sites. An intramembrane loop is found immediately after the selectivity filter at the intracellular side of the protein, which obstructs the permeation pathway, and this is reflected in the magnitude of the energy barriers.     

Molecular dynamics simulations reveal multiple pathways of ligand dissociation from thyroid hormone receptors

Nuclear receptor (NR) ligands occupy a pocket that lies within the core of the NR ligand-binding domain (LBD), and most NR LBDs lack obvious entry/exit routes upon the protein surface. Thus, significant NR conformational rearrangements must accompany ligand binding and release. The precise nature of these processes, however, remains poorly understood. Here, we utilize locally enhanced sampling (LES) molecular dynamics computer simulations to predict molecular motions of x-ray structures of thyroid hormone receptor (TR) LBDs and determine events that permit ligand escape. We find that the natural ligand 3,5,3'-triiodo-L-thyronine (T(3)) dissociates from the TRalpha1 LBD along three competing pathways generated through i), opening of helix (H) 12; ii), separation of H8 and H11 and the Omega-loop between H2 and H3; and iii), opening of H2 and H3, and the intervening beta-strand. Similar pathways are involved in dissociation of T(3) and the TRbeta-selective ligand GC24 from TRbeta; the TR agonist IH5 from the alpha- and beta-TR forms; and Triac from two natural human TRbeta mutants, A317T and A234T, but are detected with different frequencies in simulations performed with the different structures. Path I was previously suggested to represent a major pathway for NR ligand dissociation. We propose here that Paths II and III are also likely ligand escape routes for TRs and other NRs. We also propose that different escape paths are preferred in different situations, implying that it will be possible to design NR ligands that only associate stably with their cognate receptors in specific cellular contexts.     

Molecular dynamics simulations of the photoactive protein nitrile hydratase

Nitrile hydratase (NHase) is an enzyme used in the industrial biotechnological production of acrylamide. The active site, which contains nonheme iron or noncorrin cobalt, is buried in the protein core at the interface of two domains, α and β. Hydrogen bonds between βArg-56 and αCys-114 sulfenic acid (αCEA114) are important to maintain the enzymatic activity. The enzyme may be inactivated by endogenous nitric oxide (NO) and activated by absorption of photons of wavelength λ < 630 nm. To explain the photosensitivity and to propose structural determinants of catalytic activity, differences in the dynamics of light-active and dark-inactive forms of NHase were investigated using molecular dynamics (MD) modeling. To this end, a new set of force field parameters for nonstandard NHase active sites have been developed. The dynamics of the photodissociated NO ligand in the enzyme channel was analyzed using the locally enhanced sampling method, as implemented in the MOIL MD package. A series of 1 ns trajectories of NHases shows that the protonation state of the active site affects the dynamics of the catalytic water and NO ligand close to the metal center. MD simulations support the catalytic mechanism in which a water molecule bound to the metal ion directly attacks the nitrile carbon.     

Molecular dynamics simulations of the whey protein beta-lactoglobulin.

Molecular dynamics simulations have been used to model the motions and conformational behavior of the whey protein bovine beta-lactoglobulin. Simulations were performed for the protein by itself and complexed to a single retinol ligand located in a putative interior binding pocket. In the absence of the retinol ligand, the backbone loops around the opening of this interior pocket shifted inward to partially close off this cavity, similar to the shifts observed in previously reported molecular dynamics simulations of the uncomplexed form of the homologous retinol binding protein. The protein complexed with retinol does not exhibit the same conformational shifts. Conformational changes of this type could serve as a recognition signal allowing in vivo discrimination between the free and retinol complexed forms of the beta-lactoglobulin molecule. The unusual bending of the single alpha-helix observed in the simulations of retinol binding protein were not observed in the present calculations.     

Molecular dynamics simulations of N-terminal peptides from a nucleotide binding protein

Molecular dynamics (MD) simulations of N-terminal peptides from lactate dehydrogenase (LDH) with increasing length and individual secondary structure elements were used to study their stability in relation to folding. Ten simulations of 1–2 ns of different peptides in water starting from the coordinates of the crystal structure were performed. The stability of the peptides was compared qualitatively by analyzing the root mean square deviation (RMSD) from the crystal structure, radius of gyration, secondary and tertiary structure, and solvent accessible surface area. In agreement with earlier MD studies, relatively short (< 15 amino acids) peptides containing individual secondary structure elements were generally found to be unstable; the hydrophobic α₁-helix of the nucleotide binding fold displayed a significantly higher stability, however. Our simulations further showed that the first βαβ supersecondary unit of the characteristic dinucleotide binding fold (Rossmann fold) of LDH is somewhat more stable than other units of similar length and that the α₂-helix, which unfolds by itself, is stabilized by binding to this unit. This finding suggests that the first βαβ unit could function as an N-terminal folding nucleus, upon which the remainder of the polypeptide chain can be assembled. Indeed, simulations with longer units (βαβα and βαβαββ) showed that all structural elements of these units are rather stable. The outcome of our studies is in line with suggestions that folding of the N-terminal portion of LDH in vivo can be a cotranslational process that takes place during the ribosomal peptide synthesis.     

Misfolding pathways of the prion protein probed by molecular dynamics simulations

Although the cellular monomeric form of the benign prion protein is now well characterized, a model for the monomer of the misfolded conformation (PrP(Sc)) remains elusive. PrP(Sc) quickly aggregates into highly insoluble fibrils making experimental structural characterization very difficult. The tendency to aggregation of PrP(Sc) in aqueous solution implies that the monomer fold must be hydrophobic. Here, by using molecular dynamics simulations, we have studied the cellular mouse prion protein and its D178N pathogenic mutant immersed in a hydrophobic environment (solution of CCl4), to reveal conformational changes and/or local structural weaknesses of the prion protein fold in unfavorable structural and thermodynamic conditions. Simulations in water have been also performed. Although observing in general a rather limited conformation activity in the nanosecond timescale, we have detected a significant weakening of the antiparallel beta-sheet of the D178N mutant in CCl4 and to a less extent in water. No weakening is observed for the native prion protein. The increase of beta-structure in the monomer, recently claimed as evidence for misfolding to PrP(Sc), has been also observed in this study irrespective of the thermodynamic or structural conditions, showing that this behavior is very likely an intrinsic characteristic of the prion protein fold.     

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.     

The investigation of the effects of counterions in protein dynamics simulations.

Molecular simulations able to exactly represent solvated charged proteins are helpful in understanding protein dynamics, structure and function. In the present study we have used two different starting structures of papain (a typical, stable, globular protein of intermediate net charge) and different modeling procedures to evaluate some effects of counterions in simulations. A number of configurations have been generated and relaxed for each system by various combinations of constrained simulated annealing and molecular dynamics procedures, using the AMBER force field. The analysis of trajectories shows that the simulations of solvated proteins are moderately sensitive to the presence of counterions. However, this sensitivity is highly dependent on the starting model and different procedures of equilibration used. The neutralized systems tend to evince smaller root mean square deviations regardless of the system investigated and the simulation procedure used. The results of parameterized fitting of the simulated structures to the crystallographic data, giving quantitative measure of the total charge influence on the stability of various elements of the secondary structure, revealed a clear scatter of different reactions of various systems' secondary structures to counterions addition: some systems apparently were stabilized when neutralized, while the others were not. Thus, one cannot unequivocally state, despite consideration of specific simulation conditions, whether protein secondary structures are more stable when they have neutralized charges. This suggests that caution should be taken when claiming the stabilizing effect of counterions in simulations other than those involving small, unstable polypeptides or highly charged proteins.     

Molecular dynamics simulations as a tool for improving protein stability

Haloalkane dehalogenase (DhlA) was used as a model protein to explore the possibility to use molecular dynamics (MD) simulations as a tool to identify flexible regions in proteins that can serve as a target for stability enhancement by introduction of a disulfide bond. DhlA consists of two domains: an alpha/beta-hydrolase fold main domain and a cap domain composed of five alpha-helices. MD simulations of DhlA showed high mobility in a helix-loop-helix region in the cap domain, involving residues 184-211. A disulfide cross-link was engineered between residue 201 of this flexible region and residue 16 of the main domain. The mutant enzyme showed substantial changes in both thermal and urea denaturation. The oxidized form of the mutant enzyme showed an increase of the apparent transition temperature from 47.5 to 52.5 degrees C, whereas the T(m,app) of the reduced mutant decreased by more than 8 degrees C compared to the wild-type enzyme. Urea denaturation results showed a similar trend. Measurement of the kinetic stability showed that the introduction of the disulfide bond caused a decrease in activation free energy of unfolding of 0.43 kcal mol(-1) compared to the wild-type enzyme and also indicated that the helix-loop-helix region was involved early in the unfolding process. The results show that MD simulations are capable of identifying mobile protein domains that can successfully be used as a target for stability enhancement by the introduction of a disulfide cross-link.     

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 reveal proton transfer pathways in cytochrome C-dependent nitric oxide reductase

Nitric oxide reductases (NORs) are membrane proteins that catalyze the reduction of nitric oxide (NO) to nitrous oxide (N(2)O), which is a critical step of the nitrate respiration process in denitrifying bacteria. Using the recently determined first crystal structure of the cytochrome c-dependent NOR (cNOR) [Hino T, Matsumoto Y, Nagano S, Sugimoto H, Fukumori Y, et al. (2010) Structural basis of biological N2O generation by bacterial nitric oxide reductase. Science 330: 1666-70.], we performed extensive all-atom molecular dynamics (MD) simulations of cNOR within an explicit membrane/solvent environment to fully characterize water distribution and dynamics as well as hydrogen-bonded networks inside the protein, yielding the atomic details of functionally important proton channels. Simulations reveal two possible proton transfer pathways leading from the periplasm to the active site, while no pathways from the cytoplasmic side were found, consistently with the experimental observations that cNOR is not a proton pump. One of the pathways, which was newly identified in the MD simulation, is blocked in the crystal structure and requires small structural rearrangements to allow for water channel formation. That pathway is equivalent to the functional periplasmic cavity postulated in cbb(3) oxidase, which illustrates that the two enzymes share some elements of the proton transfer mechanisms and confirms a close evolutionary relation between NORs and C-type oxidases. Several mechanisms of the critical proton transfer steps near the catalytic center are proposed.     

Molecular dynamics simulations on the oligomer-formation process of the GNNQQNY peptide from yeast prion protein Sup35

Oligomeric intermediates are possible cytotoxic species in diseases associated with amyloid deposits. Understanding the early steps of fibril formation at atomic details may provide useful information for the rational therapeutic design. In this study, using the heptapeptide GNNQQNY from the yeast prion-like protein Sup35 as a model system, for which a detailed atomic structure of the fibril formed has been determined by x-ray microcrystallography, we investigated its oligomer-formation process from monomer to tetramer at the atomistic level by means of a molecular dynamics simulation with explicit water. Although the number of simulations was limited, the qualitative statistical data gave some interesting results, which indicated that the oligomer formation might start from antiparallel beta-sheet-like dimers. When a new single peptide strand was added to the preformed dimers to form trimers and then tetramers, the transition time from disorder aggregates to regular ones for the parallel alignment was found to be obviously much less than for the antiparallel one. Moreover, the parallel pattern also statistically stayed longer, providing more chances for oligomer extending, although the number of parallel stack events was almost equal to antiparallel ones. Therefore, our simulations showed that new strands might prefer to extend in a parallel arrangement to form oligomers, which agrees with the microcrystal structure of the amyloid fibril formed by this peptide. In addition, analysis of the pi-pi stacking of aromatic residues showed that this type of interaction did not play an important role in giving directionality for beta-strand alignment but played a great influence on stabilizing the structures formed in the oligomer-formation process.     

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 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 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.