Molecular dynamics simulation of PNPLA3 I148M polymorphism reveals reduced substrate access to the catalytic cavity

A missense mutation I148M in PNPLA3 (patatin‐like phospholipase domain‐containing 3 protein) is significantly correlated with nonalcoholic fatty liver disease (NAFLD). To glean insights into mutation's effect on enzymatic activity, we performed molecular dynamics simulation and flexible docking studies. Our data show that the size of the substrate‐access entry site is significantly reduced in mutants, which limits the access of palmitic acid to the catalytic dyad. Besides, the binding free energy calculations suggest low affinity for substrate to mutant enzyme. The substrate‐bound system simulations reveal that the spatial arrangement of palmitic acid is distinct in wild‐type from that in mutant. The substrate recognition specificity is lost due to the loop where the I148M mutation was located. Our results provide strong evidence for the mechanism by which I148M affects the enzyme activity and suggest that mediating the dynamics may offer a potential avenue for NAFLD. Proteins 2013. © 2012 Wiley Periodicals, Inc.     

Coarse‐grained and all‐atom modeling of structural states and transitions in hemoglobin

Hemoglobin (Hb), an oxygen‐binding protein composed of four subunits (α1, α2, β1, and β2), is a well‐known example of allosteric proteins that are capable of cooperative ligand binding. Despite decades of studies, the structural basis of its cooperativity remains controversial. In this study, we have integrated coarse‐grained (CG) modeling, all‐atom simulation, and structural data from X‐ray crystallography and wide‐angle X‐ray scattering (WAXS), aiming to probe dynamic properties of the two structural states of Hb (T and R state) and the transitions between them. First, by analyzing the WAXS data of unliganded and liganded Hb, we have found that the structural ensemble of T or R state is dominated by one crystal structure of Hb with small contributions from other crystal structures of Hb. Second, we have used normal mode analysis to identify two distinct quaternary rotations between the α1β1 and α2β2 dimer, which drive the transitions between T and R state. We have also identified the hot‐spot residues whose mutations are predicted to greatly change these quaternary motions. Third, we have generated a CG transition pathway between T and R state, which predicts a clear order of quaternary and tertiary changes involving α and β subunits in Hb. Fourth, we have used the accelerated molecular dynamics to perform an all‐atom simulation starting from the T state of Hb, and we have observed a transition toward the R state of Hb. Further analysis of crystal structural data and the all‐atom simulation trajectory has corroborated the order of quaternary and tertiary changes predicted by CG modeling. Proteins 2013. © 2012 Wiley Periodicals, Inc.     

π–π Stacking mediated drug–drug interactions in human CYP2E1

Because of having many low molecular mass substrates, CYP2E1 is of particular interests to the pharmaceutical industry. Many evidences showed that this enzyme can adopt multiple substrates to significantly reduce the oxidation rate of the substrates. The detailed mechanism for this observation is still unclear. In the current study, we employed GPU‐accelerated molecular dynamics simulations to study the multiple‐binding mode of human CYP2E1, with an aim of offering a mechanistic explanation for the unexplained multiple‐substrate binding. Our results showed that Thr303 and Phe478 were key factors for the substrate recognition and multiple‐substrate binding. The former can form a significant hydrogen bond to recognize and position the substrate in the productive binding orientation in the active site. The latter acted as a mediator for the substrate communications via π–π stacking interactions. In the multiple‐binding mode, the aforementioned π–π stacking interactions formed by the aromatic rings of both substrates and Phe478 drove the first substrate far away from the catalytic center, orienting in an additional binding position and going against the substrate metabolism. All these findings could give atomic insights into the detailed mechanism for the multiple‐substrate binding in human CYP2E1, providing useful information for the drug metabolism mechanism and personalized use of clinical drugs. Proteins 2013; © 2012 Wiley Periodicals, Inc.     

Impact of deglycosylation and thermal stress on conformational stability of a full length murine igG2a monoclonal antibody: Observations from molecular dynamics simulations

With the rise of antibody based therapeutics as successful medicines, there is an emerging need to understand the fundamental antibody conformational dynamics and its implications towards stability of these medicines. Both deglycosylation and thermal stress have been shown to cause conformational destabilization and aggregation in monoclonal antibodies. Here, we study instabilities caused by deglycosylation and by elevated temperature (400 K) by performing molecular dynamic simulations on a full length murine IgG2a mAb whose crystal structure is available in the Protein Data bank. C^α‐atom root mean square deviation and backbone root mean square fluctuation calculations show that deglycosylation perturbs quaternary and tertiary structures in the C_H2 domains. In contrast, thermal stress pervades throughout the antibody structure and both Fabs and Fc regions are destabilized. The thermal stress applied in this study was not sufficient to cause large scale unfolding within the simulation time and most amino acid residues showed similar average solvent accessible surface area and secondary structural conformations in all trajectories. C_H3 domains were the most successful at resisting the conformational destabilization. The simulations helped identify aggregation prone regions, which may initiate cross‐β motif formation upon deglycosylation and upon applying thermal stress. Deglycosylation leads to increased backbone fluctuations and solvent exposure of a highly conserved APR located in the edge β‐strand A of the C_H2 domains. Aggregation upon thermal stress is most likely initiated by two APRs that overlap with the complementarity determining regions. This study has important implications for rational design of antibody based therapeutics that are resistant towards aggregation. Proteins 2013. © 2012 Wiley Periodicals, Inc.     

Molecular Dynamics Study on Protein and it's Water Structure at High Pressure

Abstract

We have performed NPT molecular dynamics simulations (Langevin Piston Method) on two types of solvated proteins-‘denaturation-unfavorable’ protein (insulin) and ‘denaturation-favorable protein’ (ribonuclease A) at high pressure (from 1 bar up to 20 kbar). The method is based on the extended system formalism introduced by Andersen, where the deterministic equations of motion for the piston degree of freedom are replaced by Langevin equation. We report the structural changes of proteins (ribonuclease A and insulin) and water molecules through radius of gyration, solvent accessible surface area, hydrogen bond pattern, and the topology of water clusters connected by the hydrogen bonded circular network. The solvent accessibility of ribonuclease A is mainly decreased by hydrophilic residues rather than hydrophobic residues under high pressure. From the results of hydrogen bond analysis, we have found that α-helix is more stable than β-sheet under high pressure. In addition, from the analysis of the water cluster, we have observed that for ribonuclease A, 5-membered ring structure is more favorable than 6-membered ring at higher pressure. However, for insulin, the ratio of 5 to 6-ring is constant over the pressure ranges for which we have performed MD simulation. This indicates that the water structure around insulin does not change under high pressure.     

Modelling Diffusion in Zeolites by Molecular Dynamics Simulations

Abstract

The diffusion of molecules sorbed in zeolites is of growing interest for understanding the mechanisms of chemical processes with regard to selectivity and reactivity [1].

MD simulations give insight into physical systems on the molecular level allowing to study and visualize the motion of molecules even beyond the possibilities of experiments [2,3]. Single system parameters can easily be varied to study their influence, also those parameters that are fixed in reality (e.g., the size of particles). We present a cross section of our recent work to illustrate the capabilities of MD: The self diffusion coefficients (D) of a mixture of methane and xenon in silicalite show remarkable deviations from those of the pure species. This is shown and confirmed by PFG NMR experiments [4].

Simulating ethane in zeolite A the mechanism of diffusion has been studied. The effects of rotation on the diffusion lead to cases where D decreases with growing temperature [5].

The independence of self diffusion on lattice vibrations is proven even for zeolites with windows of guest particle size comparing simulations with rigid and vibrating zeolite lattice [6].     

Hydrogen bond analysis of confined water in mesoporous silica using the reactive force field

ABSTRACT

The structural and dynamical properties of water confined in nanoporous silica with a pore diameter of 2.7?nm were investigated by performing large-scale molecular dynamics simulations using the reactive force field. The radial distribution function and diffusion coefficient of water were calculated, and the values at the centre of the pore agreed well with experimental values for real water. In addition, the pore was divided into thin coaxial layers, and the average number of hydrogen bonds, hydrogen bond lifetime and hydrogen bond strength were calculated as a function of the radial distance from the pore central axis. The analysis showed that hydrogen bonds involving silanol (Si–OH) have a longer lifetime, although the average number of hydrogen bonds per atom does not change from that at the pore centre. The longer lifetime, as well as smaller diffusion coefficient, of these hydrogen bonds is attributed to their greater strength.     

A Modified Valley Restrained Monte Carlo Method to Efficiently Search the Low Energy Structures of Peptides

Abstract

A new Monte Carlo sampling scheme, namely the Modified Valley Restrained Monte Carlo procedure, is used to obtain the global energy minimum conformations for polypeptides, such as Met-enkephalin and Melittin. For each peptide, we found close agreement with previous results from both theoretical and experimental studies. The simple idea for controlling the step size according to the Valley Function, provides useful suggestions in searching the global energy minimum structures, and furthermore helps solve the multiple minima problem.     

Molecular Modelling of Human DT-Diaphorase For Enzyme-Directed Bioreductive Drug Design

Abstract

The enzyme DT-Diaphorase (NAD(P)H:quinone acceptor oxidoreductase, EC 1.6.99.2.; DTD) has been recognised as a good target for enzyme-directed bioreductive drug development. This is due to elevated levels of enzyme activity in several human tumour types and its role in the bioreductive activation of several quinone-based anti-cancer drugs.

Bioreductive drugs are designed to exploit one of the features of solid tumours, namely tumour hypoxia. However, selectivity of bioreductive drugs is not only governed by oxygen levels, but also by the levels of the enzymes catalysing bioreductive activation, leading to the concept of “enzyme-directed bioreductive drug development” introduced by Workman and Walton in 1990. This concept requires the identification of tumours within a patient that have elevated levels of enzyme activity (enzyme profiling) and treating the patient with drugs activated by such enzymes. DTD has been singled out as a particularly good candidate for such targeting. In order to rationalise the design of drugs to target DTD, molecular modelling techniques have been employed.

The human DTD three-dimensional structure has been modelled with homology to the known rat DTD structure (about 85% identity) and the model refined using energy minimisation. Drug-binding orientations have been determined and molecular dynamics simulations performed. Using data from a series of quinone based compounds with a broad range of substrate specificity we examine drug-enzyme interactions and suggest how DTD substrate specificity might be further optimised.