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Coarse-grain molecular dynamics are used to look at conformational and dynamic aspects of an R-SNARE peptide inserted in a lipid bilayer. This approach allows carrying out microsecond-scale simulations which bring to light long-lived conformational sub-states potentially interesting in the context of the membrane fusion mechanism mediated by the SNARE proteins. We show that these coarse-grain models are in agreement with most experimental data on the SNARE system, but differ in some details that may have a functional interest, most notably in the orientation of the soluble part of R-SNARE that does not appear to be spontaneously accessible for SNARE complex formation. We also compare rat and yeast sequences of R-SNARE and find some minor differences in their behavior.

Monotopic membrane proteins bind tightly to cell membranes but do not generally span the lipid bilayer. Their interactions with lipid bilayers may be studied via coarse-grained molecular dynamics (CG-MD) simulations. Understanding such interactions is important as monotopic enzymes frequently act on hydrophobic substrates, while X-ray structures rarely provide direct information about their interactions with membranes. CG-MD self-assembly simulations enable prediction of the orientation and depth of insertion into a lipid bilayer of a monotopic protein, and also of the interactions of individual protein residues with lipid molecules. The CG-MD method has been evaluated via comparison with extended (>30 ns) atomistic simulations of monoamine oxidase, revealing good agreement between the results of coarse-grained and atomistic simulations. CG-MD simulations have been applied to a set of 11 monotopic proteins for which three-dimensional structures are available. These proteins may be divided into two groups on the basis of the results of the simulations. One group consists of those proteins which are inserted into the lipid bilayer to a limited extent, interacting mainly at the phospholipid-water interface. The second group consists of those which are inserted more deeply into the bilayer. Those monotopic proteins which are inserted more deeply cause significant local perturbation of bilayer properties such as bilayer thickness. Deeper insertion seems to correlate with a greater number of basic residues in the "foot" whereby a monotopic protein interacts with the membrane.

DNA-lipid complexes are of biomedical importance as delivery vectors for gene therapy. To gain insight into the interactions of DNA with zwitterionic and cationic (dimyristoyltrimethylammonium propane (DMTAP)) lipids, we have used coarse-grained molecular dynamics simulations to study the self-assembly of DPPC and DPPC/DMTAP lipid bilayers in the presence of a DNA dodecamer. We observed the spontaneous formation of lipid bilayers from initial systems containing randomly placed lipids, water-counterions and DNA. In both the DPPC and DPPC/DMTAP simulations, the DNA molecule is located at the water-lipid headgroup interface, lying approximately parallel to the plane of the bilayer. We have also calculated the potential of mean force for transferring a DNA dodecamer through a DPPC/DMTAP bilayer. A high energetic barrier to DNA insertion into the hydrophobic core of the bilayer is observed. The DNA adopts a transmembrane orientation only in this region. Local bilayer deformation in the vicinity of the DNA molecule is observed, largely as a result of the DNA-DMTAP headgroup attraction.

Experimental and computational studies have indicated that hydrophobicity plays a key role in driving the insertion of transmembrane alpha-helices into lipid bilayers. Molecular dynamics simulations allow exploration of the nature of the interactions of transmembrane alpha-helices with their lipid bilayer environment. In particular, coarse-grained simulations have considerable potential for studying many aspects of membrane proteins, ranging from their self-assembly to the relation between their structure and function. However, there is a need to evaluate the accuracy of coarse-grained estimates of the energetics of transmembrane helix insertion. Here, three levels of complexity of model system have been explored to enable such an evaluation. First, calculated free energies of partitioning of amino acid side chains between water and alkane yielded an excellent correlation with experiment. Second, free energy profiles for transfer of amino acid side chains along the normal to a phosphatidylcholine bilayer were in good agreement with experimental and atomistic simulation studies. Third, estimation of the free energy profile for transfer of an arginine residue, embedded within a hydrophobic alpha-helix, to the center of a lipid bilayer gave a barrier of approximately 15 kT. Hence, there is a substantial barrier to membrane insertion for charged amino acids, but the coarse-grained model still underestimates the corresponding free energy estimate (approximately 29 kT) from atomistic simulations (Dorairaj, S., and Allen, T. W. (2007) Proc. Natl. Acad. Sci. U.S.A. 104, 4943-4948). Coarse-grained simulations were then used to predict the free energy profile for transfer of a simple model transmembrane alpha-helix (WALP23) across a lipid bilayer. The results indicated that a transmembrane orientation was favored by about -70 kT.

Oligomerization of transmembrane (TM) helices is a key stage in the folding of membrane proteins. Glycophorin A (GpA) is a well-documented test system for this process. Coarse-grained molecular dynamics (CG-MD) allows us to simulate the self-assembly of TM helices into dimers, for both wild-type (WT) and mutant GpA sequences. For the WT sequences, dimers formed rapidly and remained stable in all simulations. The resultant dimers exhibited right-handed crossing and the same interhelix contacts as in NMR structures. Simulations of disruptive mutants revealed the dimers were less stable, with values of DeltaDelta G dimerization consistent with experimental data. The dimers of disruptive mutants were distorted relative to the WT and showed left-handed crossing of their helices. CG-MD can therefore be used to explore the interactions of TM helices, an important stage in the folding of membrane proteins. In particular, CG-MD has been shown to be sensitive enough to detect disruptions introduced by mutation. Future refinement of such models via atomistic simulations will enable a multiscale approach to predict the folding of membrane proteins.

The transmembrane (TM) domain of the M2 channel protein from influenza A is a homotetrameric bundle of alpha-helices and provides a model system for computational approaches to self-assembly of membrane proteins. Coarse-grained molecular dynamics (CG-MD) simulations have been used to explore partitioning into a membrane of M2 TM helices during bilayer self-assembly from lipids. CG-MD is also used to explore tetramerization of preinserted M2 TM helices. The M2 helix monomer adopts a membrane spanning orientation in a lipid (DPPC) bilayer. Multiple extended CG-MD simulations (5 x 5 micros) were used to study the tetramerization of inserted M2 helices. The resultant tetramers were evaluated in terms of the most populated conformations and the dynamics of their interconversion. This analysis reveals that the M2 tetramer has 2x rotationally symmetrical packing of the helices. The helices form a left-handed bundle, with a helix tilt angle of approximately 16 degrees. The M2 helix bundle generated by CG-MD was converted to an atomistic model. Simulations of this model reveal that the bundle's stability depends on the assumed protonation state of the H37 side chains. These simulations alongside comparison with recent x-ray (3BKD) and NMR (2RLF) structures of the M2 bundle suggest that the model yielded by CG-MD may correspond to a closed state of the channel.

Maculatin 1.1 (M1.1) is a membrane-active antimicrobial peptide (AMP) from an Australian tree frog that forms a kinked amphipathic alpha-helix in the presence of a lipid bilayer or bilayer-mimetic environment. To help elucidate its mechanism of membrane-lytic activity, we performed a total of approximately 8 micros of coarse-grained molecular dynamics (CG-MD) simulations of M1.1 in the presence of zwitterionic phospholipid membranes. Several systems were simulated in which the peptide/lipid ratio was varied. At a low peptide/lipid ratio, M1.1 adopted a kinked, membrane-interfacial location, consistent with experiment. At higher peptide/lipid ratios, we observed spontaneous, cooperative membrane insertion of M1.1 peptide aggregates. The minimum size for formation of a transmembrane (TM) aggregate was just four peptides. The absence of a simple and well-defined central channel, along with the exclusion of lipid headgroups from the aggregates, suggests that a pore-like model is an unlikely explanation for the mechanism of membrane lysis by M1.1. We also performed an extended 1.25 micros simulation of the permeabilization of a complete liposome by multiple peptides. Consistent with the simpler bilayer simulations, formation of monomeric interfacial peptides and TM peptide clusters was observed. In contrast, major structural changes were observed in the vesicle membrane, implicating induced membrane curvature in the mechanism of active antimicrobial peptide lysis. This contrasted with the behavior of the nonpore-forming model peptide WALP23, which inserted into the vesicle to form extended clusters of TM alpha-helices with relatively little perturbation of bilayer properties.

Outer membrane proteins (OMPs) of Gram-negative bacteria have a variety of functions including passive transport, active transport, catalysis, pathogenesis and signal transduction. Whilst the structures of approximately 25 OMPs are currently known, there is relatively little known about their dynamics in different environments. The outer membrane protein, OmpA from Escherichia coli has been studied extensively in different environments both experimentally and computationally, and thus provides an ideal test case for the study of the dynamics and environmental interactions of outer membrane proteins. We review molecular dynamics simulations of OmpA and its homologues in a variety of different environments and discuss possible mechanisms of pore gating. The transmembrane domain of E. coli OmpA shows subtle differences in dynamics and interactions between a detergent micelle and a lipid bilayer environment. Simulations of the crystallographic unit cell reveal a micelle-like network of detergent molecules interacting with the protein monomers. Simulation and modelling studies emphasise the role of an electrostatic-switch mechanism in the pore-gating mechanism. Simulation studies have been extended to comparative models of OmpA homologues from Pseudomonas aeruginosa (OprF) and Pasteurella multocida (PmOmpA), the latter model including the periplasmic C-terminal domain.

Complete determination of a membrane protein structure requires knowledge of the protein position within the lipid bilayer. As the number of determined structures of membrane proteins increases so does the need for computational methods which predict their position in the lipid bilayer. Here we present a coarse-grained molecular dynamics approach to lipid bilayer self-assembly around membrane proteins. We demonstrate that this method can be used to predict accurately the protein position in the bilayer for membrane proteins with a range of different sizes and architectures.

The structures of three bacterial outer membrane proteins (OmpA, OmpX and PagP) have been determined by both X-ray diffraction and NMR. We have used multiple (7 x 15 ns) MD simulations to compare the conformational dynamics resulting from the X-ray versus the NMR structures, each protein being simulated in a lipid (DMPC) bilayer. Conformational drift was assessed via calculation of the root mean square deviation as a function of time. On this basis the 'quality' of the starting structure seems mainly to influence the simulation stability of the transmembrane beta-barrel domain. Root mean square fluctuations were used to compare simulation mobility as a function of residue number. The resultant residue mobility profiles were qualitatively similar for the corresponding X-ray and NMR structure-based simulations. However, all three proteins were generally more mobile in the NMR-based than in the X-ray simulations. Principal components analysis was used to identify the dominant motions within each simulation. The first two eigenvectors (which account for >50% of the protein motion) reveal that such motions are concentrated in the extracellular loops and, in the case of PagP, in the N-terminal alpha-helix. Residue profiles of the magnitude of motions corresponding to the first two eigenvectors are similar for the corresponding X-ray and NMR simulations, but the directions of these motions correlate poorly reflecting incomplete sampling on a approximately 10 ns timescale.

An understanding of the interactions of membrane proteins with a lipid bilayer environment is central to relating their structure to their function and stability. A high-throughput approach to prediction of membrane protein interactions with a lipid bilayer based on coarse-grained Molecular Dynamics simulations is described. This method has been used to develop a database of CG simulations (coarse-grained simulations) of membrane proteins (http://sbcb.bioch.ox.ac.uk/cgdb). Comparison of CG simulations and AT simulations (atomistic simulations) of lactose permease reveals good agreement between the two methods in terms of predicted lipid headgroup contacts. Both CG and AT simulations predict considerable local bilayer deformation by the voltage sensor domain of the potassium channel KvAP.

Membrane protein structures are underrepresented in the Protein Data Bank (PDB) because of difficulties associated with expression and crystallization. As such, it is one area in which computational studies, particularly molecular dynamics (MD), can provide useful additional information. Recently, there has been substantial progress in the simulation of lipid bilayers and membrane proteins embedded within them. Initial efforts at simulating membrane proteins embedded within a lipid bilayer were relatively slow and interactive processes, but recent advances now mean that the setup and running of membrane protein simulations is somewhat more straightforward, although not without its problems. In this chapter, we outline practical methods for setting up and running MD simulations of a membrane protein embedded within a lipid bilayer and discuss methodologies that are likely to contribute future improvements.

Molecular dynamics (MD) simulations provide a valuable approach to the dynamics, structure, and stability of membrane-protein systems. Coarse-grained (CG) models, in which small groups of atoms are treated as single particles, enable extended (>100 ns) timescales to be addressed. In this study, we explore how CG-MD methods that have been developed for detergents and lipids may be extended to membrane proteins. In particular, CG-MD simulations of a number of membrane peptides and proteins are used to characterize their interactions with lipid bilayers. CG-MD is used to simulate the insertion of synthetic model membrane peptides (WALPs and LS3) into a lipid (PC) bilayer. WALP peptides insert in a transmembrane orientation, whilst the LS3 peptide adopts an interfacial location, both in agreement with experimental biophysical data. This approach is extended to a transmembrane fragment of the Vpu protein from HIV-1, and to the coat protein from fd phage. Again, simulated protein/membrane interactions are in good agreement with solid state NMR data for these proteins. CG-MD has also been applied to an M3-M4 fragment from the CFTR protein. Simulations of CFTR M3-M4 in a detergent micelle reveal formation of an alpha-helical hairpin, consistent with a variety of biophysical data. In an I231D mutant, the M3-M4 hairpin is additionally stabilized via an inter-helix Q207/D231 interaction. Finally, CG-MD simulations are extended to a more complex membrane protein, the bacterial sugar transporter LacY. Comparison of a 200 ns CG-MD simulation of LacY in a DPPC bilayer with a 50 ns atomistic simulation of the same protein in a DMPC bilayer shows that the two methods yield comparable predictions of lipid-protein interactions. Taken together, these results demonstrate the utility of CG-MD simulations for studies of membrane/protein interactions.

Coarse-grained molecular dynamics simulations are used to explore the interaction with a phospholipid bilayer of the voltage sensor (VS) domain and the S4 helix from the archaebacterial voltage-gated potassium (Kv) channel KvAP. Multiple 2-mus self-assembly simulations reveal that the isolated S4 helix may adopt either interfacial or transmembrane (TM) locations with approximately equal probability. In the TM state, the insertion of the voltage-sensing region of S4 is facilitated via local bilayer deformation that, combined with side chain "snorkeling," enables its Arg side chains to interact with lipid headgroups and water. Multiple 0.2-mus self-assembly simulations of the VS domain are also performed, along with simulations of MscL and KcsA, to permit comparison with more "canonical" integral membrane protein structures. All three stably adopt a TM orientation within a bilayer. For MscL and KcsA, there is no significant bilayer deformation. In contrast, for the VS, there is considerable local deformation, which is again primarily due to the lipid-exposed S4. It is shown that for both the VS and isolated S4 helix, the positively charged side chains of S4 are accommodated within the membrane through a combination of stabilizing interactions with lipid glycerol and headgroup regions, water, and anionic side chains. Our results support the possibility that bilayer deformation around key gating charge residues in Kv channels may result in "focusing" of the electrostatic field, and indicate that, when considering competing models of voltage-sensing, it is essential to consider the dynamics and structure of not only the protein but also of the local lipid environment.

The glycophorin helix dimer is a paradigm for the exploration of helix-helix interactions in integral membrane proteins. Two NMR structures of the dimer are known, one in a detergent micelle and one in a lipid bilayer. Multiple (4 x 50 ns) molecular dynamics simulations starting from each of the two NMR structures, with each structure in either a dodecyl phosphocholine (DPC) micelle or a dimyristoyl phosphatidylcholine (DMPC) bilayer, have been used to explore the conformational dynamics of the helix dimer. Analysis of the helix-helix interaction, mediated by the GxxxG sequence motif, suggests convergence of the simulations to a common model. This is closer to the NMR structure determined in a bilayer than to micelle structure. The stable dimer interface in the final simulation model is characterized by (i) Gly/Gly packing and (ii) Thr/Thr interhelix H-bonds. These results demonstrate the ability of extended molecular dynamics simulations in a lipid bilayer environment to refine membrane protein structures or models derived from experimental data obtained in protein/detergent micelles.

The cytoplasmic membrane protein TatB is an essential component of the Escherichia coli twin-arginine (Tat) protein translocation pathway. Together with the TatC component it forms a complex that functions as a membrane receptor for substrate proteins. Structural predictions suggest that TatB is anchored to the membrane via an N-terminal transmembrane alpha-helix that precedes an amphipathic alpha-helical section of the protein. From truncation analysis it is known that both these regions of the protein are essential for function. Here we construct 31 unique cysteine substitutions in the first 42 residues of TatB. Each of the substitutions results in a TatB protein that is competent to support Tat-dependent protein translocation. Oxidant-induced disulfide cross-linking shows that both the N-terminal and amphipathic helices form contacts with at least one other TatB protomer. For the transmembrane helix these contacts are localized to one face of the helix. Molecular modeling and molecular dynamics simulations provide insight into the possible structural basis of the transmembrane helix interactions. Using variants with double cysteine substitutions in the transmembrane helix, we were able to detect cross-links between up to five TatB molecules. Protein purification showed that species containing at least four cross-linked TatB molecules are found in correctly assembled TatBC complexes. Our results suggest that the transmembrane helices of TatB protomers are in the center rather than the periphery of the TatBC complex.

Mistic is an unusual membrane protein from Bacillus subtilis. It appears to fold and insert autonomously into a lipid bilayer and has been suggested as a tool that aids the targeting of eukaryotic membrane proteins to bacterial membranes. The NMR structure of Mistic in detergent (LDAO) micelles has revealed it to be a four alpha-helix bundle. From a structural perspective, Mistic does not resemble other membrane proteins. Its external surface is not very hydrophobic, and standard methods do not predict any of its helices to be in the transmembrane orientation. Molecular dynamics simulations (simulation times approximately 30 ns) in water and in detergent micelles have been used to explore the conformational stability of Mistic as a function of its environment. In water, the protein is stable, exhibiting no significant change in fold on a 30 ns time scale. In contrast, in three simulations in detergent micelles, the partial unfolding of Mistic occurred, whereby the H4 helix drifted away from the H1-H3 core. This was due to the penetration of detergent molecules between H4 and the remainder of the protein. This is unlike the behavior of several other membrane proteins, both alpha-helix bundles and beta-barrels, in comparable detergent micelle simulations. The unfolding of H4 from the H1-H3 core of Mistic could be partially reversed by a simulation in which the detergent molecules were removed, and the unfolded protein was simulated in water. These results suggest that Mistic may not be a stable integrated membrane protein but rather that it may undergo a conformational change upon interaction with a membrane or membrane-like environment.

Molecular dynamics (MD) simulations are used to explore the dynamics of a membrane protein in its crystal environment. A 50-ns-duration simulation (at a temperature of 300 K) is performed for the crystallographic unit cell of the bacterial outer membrane protein OmpA. The unit cell contains four protein molecules, plus detergent molecules and water. An excellent correlation between simulated and experimental values of crystallographic B factors is observed. Effectively, 0.2 micros of protein trajectories are obtained, allowing a critical assessment of simulation quality. Some deficiency in conformational sampling is demonstrated, but averaging over multiple trajectories improves this limitation. The previously undescribed structure and dynamics of detergent molecules in a unit cell are reported here, providing insight into the interactions important in the formation and stabilization of the crystalline environment at room temperature. In particular, we show that at room temperature the detergent molecules form a dynamic, extended micellar structure spreading over adjacent OmpA monomers within the crystal.

OprF is a major outer membrane protein from Pseudomonas aeruginosa, a homolog of OmpA from Escherichia coli. The N-terminal domains of both proteins have been demonstrated to form low conductance channels in lipid bilayers. Homology models, consisting of an eight-stranded beta-barrel, of the N-terminal domain OprF have been constructed based on the crystal structure of the corresponding domain from E. coli OmpA. OprF homology models have been evaluated via a set (6 x 10 ns) of simulations of the beta-barrel embedded within a solvated dimyristoyl-phosphatidylcholine (DMPC) bilayer. The conformational stability of the models is similar to that of the crystal structure of OmpA in comparable simulations. There is a degree of water penetration into the pore-like center of the OprF barrel. The presence of an acidic/basic (E8/K121) side-chain interaction within the OprF barrel may form a "gate" able to close/open a central pore. Lipid-protein interactions within the simulations were analyzed and revealed that aromatic side-chains (Trp, Tyr) of OprF interact with lipid headgroups. Overall, the behavior of the OprF model in simulations supports the suggestion that this molecule is comparable to OmpA. The simulations help to explain the mechanism of formation of low conductance pores within the outer membrane., (2006 Wiley-Liss, Inc.)

Interactions of lipids are central to the folding and stability of membrane proteins. Coarse-grained molecular dynamics simulations have been used to reveal the mechanisms of self-assembly of protein/membrane and protein/detergent complexes for representatives of two classes of membrane protein, namely, glycophorin (a simple alpha-helical bundle) and OmpA (a beta-barrel). The accuracy of the coarse-grained simulations is established via comparison with the equivalent atomistic simulations of self-assembly of protein/detergent micelles. The simulation of OmpA/bilayer self-assembly reveals how a folded outer membrane protein can be inserted in a bilayer. The glycophorin/bilayer simulation supports the two-state model of membrane folding, in which transmembrane helix insertion precedes dimer self-assembly within a bilayer. The simulations also suggest that a dynamic equilibrium exists between the glycophorin helix monomer and dimer within a bilayer. The simulated glycophorin helix dimer is remarkably close in structure to that revealed by NMR. Thus, coarse-grained methods may help to define mechanisms of membrane protein (re)folding and will prove suitable for simulation of larger scale dynamic rearrangements of biological membranes.

Molecular dynamics (MD) simulations have been used to unmask details of specific interactions of anionic phospholipids with intersubunit binding sites on the surface of the bacterial potassium channel KcsA. Crystallographic data on a diacyl glycerol fragment at this site were used to model phosphatidylethanolamine (PE), or phosphatidylglycerol (PG), or phosphatidic acid (PA) at the intersubunit binding sites. Each of these models of a KcsA-lipid complex was embedded in phosphatidyl choline bilayer and explored in a 20 ns MD simulation. H-bond analysis revealed that in terms of lipid-protein interactions PA > PG >> PE and revealed how anionic lipids (PG and PA) bind to a site provided by two key arginine residues (R(64) and R(89)) at the interface between adjacent subunits. A 27 ns simulation was performed in which KcsA (without any lipids initially modeled at the R(64)/R(89) sites) was embedded in a PE/PG bilayer. There was a progressive specific increase over the course of the simulation in the number of H-bonds of PG with KcsA. Furthermore, two specific PG binding events at R(64)/R(89) sites were observed. The phosphate oxygen atoms of bound PG formed H-bonds to the guanidinium group of R(89), whereas the terminal glycerol H-bonded to R(64). Overall, this study suggests that simulations can help identify and characterize sites for specific lipid interactions on a membrane protein surface.

Our goal was to assess the relationship between membrane protein quality, output from protein quality checkers and output from molecular dynamics (MD) simulations. Membrane transport proteins are essential for a wide range of cellular processes. Structural features of integral membrane proteins are still under-explored due to experimental limitations in structure determination. Computational techniques can be used to exploit biochemical and medium resolution structural data, as well as sequence homology to known structures, and enable us to explore the structure-function relationships in several transmembrane proteins. The quality of the models produced is vitally important to obtain reliable predictions. An examination of the relationship between model stability in molecular dynamics (MD) simulations derived from RMSD (root mean squared deviation) and structure quality assessment from various protein quality checkers was undertaken. The results were compared to membrane protein structures, solved at various resolution, by either X-ray or electron diffraction techniques. The checking programs could predict the potential success of MD in making functional conclusions. MD stability was shown to be a good indicator for the quality of structures. The quality was also shown to be dependent on the resolution at which the structures were determined.

Octyl glucoside (OG) is a detergent widely employed in structural and functional studies of membrane proteins. To better understand the nature of protein-OG interactions, molecular dynamics simulations (duration 10 ns) have been used to explore an alpha-helical membrane protein, GlpF, in OG micelles and in DMPC bilayers. Greater conformational drift of the extramembraneous protein loops, from the initial X-ray structure, is seen for the GlpF-OG simulations than for the GlpF-DMPC simulation. The mobility of the transmembrane alpha-helices is approximately 1.3x higher in the GlpF-OG than the GlpF-DMPC simulations. The detergent is seen to form an irregular torus around the protein. The presence of the protein leads to a small perturbation in the behavior of the alkyl chains in the OG micelle, namely an approximately 15% increase in the trans-gauche(-)-gauche(+) transition time. Aromatic side chains (Trp, Tyr) and basic side chains (Arg, Lys) play an important role in both protein-detergent (OG) and protein-lipid (DMPC) interactions.

The in vitro study of membrane proteins for the purpose of physicochemical analysis or structure determination often relies upon successful reconstitution into detergent micelles. Moreover, a number of biological processes such as membrane protein folding and transport rely on lipid interactions which may resemble the micellar environment. Little is known about the structures of these micelles or the processes which lead to their formation. We therefore present two 50 ns all-atom molecular dynamics simulations of spontaneous dodecylphosphocholine micelle formation around representatives of the two major families of membrane proteins, a small beta-barrel protein, OmpA, and a model alpha-helical protein, glycophorin A. Despite differences in protein architecture, we highlight common mechanistic pathways in micelle formation, which are consistent with experimental studies. We characterize the exponential kinetics of detergent-protein adsorption and suggest a simple model which may explain the aggregation process. We also compare the results with 25 and 50 ns simulations of preformed micelles containing the same proteins. We confirm that the end structures of the self-assembled micelles are similar to those from their preformed counterparts, with each micelle presenting a bilayerlike environment to the enclosed protein.

The interactions between membrane proteins and their lipid bilayer environment play important roles in the stability and function of such proteins. Extended (15-20 ns) molecular dynamics simulations have been used to explore the interactions of two membrane proteins with phosphatidylcholine bilayers. One protein (KcsA) is an alpha-helix bundle and embedded in a palmitoyl oleoyl phosphatidylcholine bilayer; the other (OmpA) is a beta-barrel outer-membrane protein and is in a dimyristoyl phosphatidylcholine bilayer. The simulations enable analysis in detail of a number of aspects of lipid-protein interactions. In particular, the interactions of aromatic amphipathic side chains (i.e., Trp, Tyr) with lipid headgroups, and "snorkeling" interactions of basic side chains (i.e., Lys, Arg) with phosphate groups are explored. Analysis of the number of contacts and of H-bonds reveal fluctuations on an approximately 1- to 5-ns timescale. There are two clear bands of interacting residues on the surface of KcsA, whereas there are three such bands on OmpA. A large number of Arg-phosphate interactions are seen for KcsA; for OmpA, the number of basic-phosphate interactions is smaller and shows more marked fluctuations with respect to time. Both classes of interaction occur in clearly defined interfacial regions of width approximately 1 nm. Analysis of lateral diffusion of lipid molecules reveals that "boundary" lipid molecules diffuse at about half the rate of bulk lipid. Overall, these simulations present a dynamic picture of lipid-protein interactions: there are a number of more specific interactions but even these fluctuate on an approximately 1- to 5-ns timescale.

In the current report, we provide a quantitative analysis of the convergence of the sampling of conformational space accomplished in molecular dynamics simulations of membrane proteins of duration in the order of 10 nanoseconds. A set of proteins of diverse size and topology is considered, ranging from helical pores such as gramicidin and small beta-barrels such as OmpT, to larger and more complex structures such as rhodopsin and FepA. Principal component analysis of the C(alpha)-atom trajectories was employed to assess the convergence of the conformational sampling in both the transmembrane domains and the whole proteins, while the time-dependence of the average structure was analyzed to obtain single-domain information. The membrane-embedded regions, particularly those of small or structurally simple proteins, were found to achieve reasonable convergence. By contrast, extra-membranous domains lacking secondary structure are often markedly under-sampled, exhibiting a continuous structural drift. This drift results in a significant imprecision in the calculated B-factors, which detracts from any quantitative comparison to experimental data. In view of such limitations, we suggest that similar analyses may be valuable in simulation studies of membrane protein dynamics, in order to attach a level of confidence to any biologically relevant observations., (Copyright 2004 Wiley-Liss, Inc.)

The outer membrane of Gram-negative bacteria serves as a protective barrier against the external environment but is rendered selectively permeable to nutrients and waste by proteins called porins. Other outer membrane proteins (OMPs) provide the membrane with a variety of other functions including active transport, catalysis, pathogenesis and signal transduction. A relatively small number of crystal or NMR structures of these proteins are known, and it is therefore essential that the maximum possible information be extracted. In this respect, computational techniques enable extrapolation from time- and space-averaged static structures to dynamic, physiological events. Electrostatics approaches have been used to investigate the structures of porins. The stochastic simulation of ion trajectories through these channels has been possible with Brownian dynamics, which treats the membrane and solvent approximately, enabling the prediction of conduction properties. Molecular dynamics has also been applied, enabling fully atomistic descriptions of 'virtual outer membranes'. This has provided atomic resolution descriptions of solute permeation through porins. It has also yielded insights into the dynamics of gating in active transporters and ion channels, as well as providing clues to catalytic mechanisms in outer membrane enzymes. Additionally, simulations are beginning to reveal the common features of interactions between membrane proteins and lipids, with biological implications for OMP folding, stability and mechanism. Future prospects include the simulation of longer, larger and more complex outer membrane systems, with more accurate descriptions of inter-atomic forces.

Despite the importance of lipid/protein interactions in the folding, assembly, stability, and function of membrane proteins, information at an atomic level on how such proteins interact with the lipids that surround them remains sparse. The dynamics and flexible nature of the protein/bilayer interaction make it difficult to study, for example, by crystallographic means. However, based on recent progress in molecular simulations of membranes it is possible to address this problem computationally. This communication reports one of the first attempts to use multiple ns molecular simulations to establish a qualitative picture of the intermolecular interactions between the lipids of a bilayer and two topologically different membrane proteins for which a high resolution (2 A or better) X-ray structure is available.

The bacterial outer membrane protein OmpA is one of the few membrane proteins whose structure has been solved both by X-ray crystallography and by NMR. Crystals were obtained in the presence of detergent, and the NMR structure is of the protein in a detergent micelle. We have used 10 ns duration molecular dynamics simulations to compare the behaviour of OmpA in a detergent micelle and in a phospholipid bilayer. The dynamic fluctuations of the protein structure seem to be ca 1.5 times greater in the micelle environment than in the lipid bilayer. There are subtle differences between the nature of OmpA-detergent and OmpA-lipid interactions. As a consequence of the enhanced flexibility of the OmpA protein in the micellar environment, side-chain torsion angle changes are such as to lead to formation of a continuous pore through the centre of the OmpA molecule. This may explain the experimentally observed channel formation by OmpA.

The bacterial outer membrane protein OmpA is composed of an N-terminal 171-residue beta-barrel domain (OmpA(171)) that spans the bilayer and a periplasmic, C-terminal domain of unknown structure. OmpA has been suggested to primarily serve a structural role, as no continuous pore through the center of the barrel can be discerned in the crystal structure of OmpA(171). However, several groups have recorded ionic conductances for bilayer-reconstituted OmpA(171). To resolve this apparent paradox we have used molecular dynamics (MD) simulations on OmpA(171) to explore the conformational dynamics of the protein, in particular the possibility of transient formation of a central pore. A total of 19 ns of MD simulations of OmpA(171) have been run, and the results were analyzed in terms of 1) comparative behavior of OmpA(171) in different bilayer and bilayer-mimetic environments, 2) solvation states of OmpA(171), and 3) pore characteristics in different MD simulations. Significant mobility was observed for residues and water molecules within the beta-barrel. A simulation in which putative gate region side chains of the barrel interior were held in a non-native conformation led to an open pore, with a predicted conductance similar to experimental measurements. The OmpA(171) pore has been shown to be somewhat more dynamic than suggested by the crystal structure. A gating mechanism is proposed to explain its documented channel properties, involving a flickering isomerization of Arg138, forming alternate salt bridges with Glu52 (closed state) and Glu128 (open state).