Maturos Malaisree

Susceptibility of antiviral drugs against 2009 influenza A (H1N1) virus

The recent outbreak of the novel strain of influenza A (H1N1) virus has raised a global concern of the future risk of a pandemic. To understand at the molecular level how this new H1N1 virus can be inhibited by the current anti-influenza drugs and which of these drugs it is likely to already be resistant to, homology modeling and MD simulations have been applied on the H1N1 neuraminidase complexed with oseltamivir, and the M2-channel with adamantanes bound. The H1N1 virus was predicted to be susceptible to oseltamivir, with all important interactions with the binding residues being well conserved. In contrast, adamantanes are not predicted to be able to inhibit the M2 function and have completely lost their binding with the M2 residues. This is mainly due to the fact that the M2 transmembrane of the new H1N1 strain contains the S31N mutation which is known to confer resistance to adamantanes.

How amantadine and rimantadine inhibit proton transport in the M2 protein channel

To understand how antiviral drugs inhibit the replication of influenza A virus via the M2 ion channel, molecular dynamics simulations have been applied to the six possible protonation states of the M2 ion channel in free form and its complexes with two commercial drugs in a fully hydrated lipid bilayer. Among the six different states of free M2 tetramer, water density was present in the pore of the systems with mono-protonated, di-protonated at adjacent position, tri-protonated and tetra-protonated systems. In the presence of inhibitor, water density in the channel was considerably better reduced by rimantadine than amantadine, agreed well with the experimental IC(50) values. With the preferential position and orientation of the two drugs in all states, two mechanisms of action, where the drug binds to the opening pore and the histidine gate, were clearly explained, i.e., (i) inhibitor was detected to localize slightly closer to the histidine gate and can facilitate the orientation of His37 imidazole rings to lie in the close conformation and (ii) inhibitor acts as a blocker, binding at almost above the opening pore and interacts slightly with the three pore-lining residues, Leu26, Ala30 and Ser31. Here, the inhibitors were found to bind very weakly to the channel due to their allosteric hindrance while theirs side chains were strongly solvated.

Understanding of known drug-target interactions in the catalytic pocket of neuraminidase subtype N1.

To provide detailed information and insight into the drug‐target interaction, structure, solvation, and dynamic and thermodynamic properties, the three known‐neuraminidase inhibitors—oseltamivir (OTV), zanamivir (ZNV), and peramivir (PRV)—embedded in the catalytic site of neuraminidase (NA) subtype N1 were studied using molecular dynamics simulations. In terms of ligand conformation, there were major differences in the structures of the guanidinium and the bulky groups. The atoms of the guanidinium group of PRV were observed to form many more hydrogen bonds with the surrounded residues and were much less solvated by water molecules, in comparison with the other two inhibitors. Consequently, D151 lying on the 150‐loop (residues 147–152) of group‐1 neuraminidase (N1, N4, N5, and N8) was considerably shifted to form direct hydrogen bonds with the OH group of the PRV, which was located rather far from the 150‐loop. For the bulky group, direct hydrogen bonds were detected only between the hydrophilic side chain of ZNV and residues R224, E276, and E277 of N1 with rather weak binding, 20–70% occupation. This is not the case for OTV and PRV, in which flexibility and steric effects due to the hydrophobic side chain lead to the rearrangement of the surrounded residues, that is, the negatively charged side chain of E276 was shifted and rotated to form hydrogen bonds with the positively charged moiety of R224. Taking into account all the ligand‐enzyme interaction data, the gas phase MM interaction energy of −282.2 kcal/mol as well as the binding free energy (ΔGbinding) of −227.4 kcal/mol for the PRV‐N1 are significantly lower than those of the other inhibitors. The ordering of ΔGbinding of PRV < ZNV < OTV agrees well with the ordering of experimental IC50 value. Proteins 2008.

Long Time Scale GPU Dynamics Reveal the Mechanism of Drug Resistance of the Dual Mutant I223R/H275Y Neuraminidase from H1N1-2009 Influenza Virus

Multidrug resistance of the pandemic H1N1-2009 strain of influenza has been reported due to widespread treatment using the neuraminidase (NA) inhibitors, oseltamivir (Tamiflu), and zanamivir (Relenza). From clinical data, the single I223R (IR(1)) mutant of H1N1-2009 NA reduced efficacy of oseltamivir and zanamivir by 45 and 10 times, (1) respectively. More seriously, the efficacy of these two inhibitors against the double mutant I223R/H275Y (IRHY(2)) was significantly reduced by a factor of 12 374 and 21 times, respectively, compared to the wild-type.(2) This has led to the question of why the efficacy of the NA inhibitors is reduced by the occurrence of these mutations and, specifically, why the efficacy of oseltamivir against the double mutant IRHY was significantly reduced, to the point where oseltamivir has become an ineffective treatment. In this study, 1 μs of molecular dynamics (MD) simulations was performed to answer these questions. The simulations, run using graphical processors (GPUs), were used to investigate the effect of conformational change upon binding of the NA inhibitors oseltamivir and zanamivir in the wild-type and the IR and IRHY mutant strains. These long time scale dynamics simulations demonstrated that the mechanism of resistance of IRHY to oseltamivir was due to the loss of key hydrogen bonds between the inhibitor and residues in the 150-loop. This allowed NA to transition from a closed to an open conformation. Oseltamivir binds weakly with the open conformation of NA due to poor electrostatic interactions between the inhibitor and the active site. The results suggest that the efficacy of oseltamivir is reduced significantly because of conformational changes that lead to the open form of the 150-loop. This suggests that drug resistance could be overcome by increasing hydrogen bond interactions between NA inhibitors and residues in the 150-loop, with the aim of maintaining the closed conformation, or by designing inhibitors that can form a hydrogen bond to the mutant R223 residue, thereby preventing competition between R223 and R152.

A water-swap reaction coordinate for the calculation of absolute protein–ligand binding free energies

The accurate prediction of absolute protein-ligand binding free energies is one of the grand challenge problems of computational science. Binding free energy measures the strength of binding between a ligand and a protein, and an algorithm that would allow its accurate prediction would be a powerful tool for rational drug design. Here we present the development of a new method that allows for the absolute binding free energy of a protein-ligand complex to be calculated from first principles, using a single simulation. Our method involves the use of a novel reaction coordinate that swaps a ligand bound to a protein with an equivalent volume of bulk water. This water-swap reaction coordinate is built using an identity constraint, which identifies a cluster of water molecules from bulk water that occupies the same volume as the ligand in the protein active site. A dual topology algorithm is then used to swap the ligand from the active site with the identified water cluster from bulk water. The free energy is then calculated using replica exchange thermodynamic integration. This returns the free energy change of simultaneously transferring the ligand to bulk water, as an equivalent volume of bulk water is transferred back to the protein active site. This, directly, is the absolute binding free energy. It should be noted that while this reaction coordinate models the binding process directly, an accurate force field and sufficient sampling are still required to allow for the binding free energy to be predicted correctly. In this paper we present the details and development of this method, and demonstrate how the potential of mean force along the water-swap coordinate can be improved by calibrating the soft-core Coulomb and Lennard-Jones parameters used for the dual topology calculation. The optimal parameters were applied to calculations of protein-ligand binding free energies of a neuraminidase inhibitor (oseltamivir), with these results compared to experiment. These results demonstrate that the water-swap coordinate provides a viable and potentially powerful new route for the prediction of protein-ligand binding free energies.

Evolution of Human Receptor Binding Affinity of H1N1 Hemagglutinins from 1918 to 2009 Pandemic Influenza A Virus

The recent outbreak of the novel 2009 H1N1 influenza in humans has focused global attention on this virus, which could potentially have introduced a more dangerous pandemic of influenza flu. In the initial step of the viral attachment, hemagglutinin (HA), a viral glycoprotein surface, is responsible for the binding to the human SIA alpha2,6-linked sialopentasaccharide host cell receptor (hHAR). Dynamical and structural properties, based on molecular dynamics simulations of the four different HAs of Spanish 1918 (H1-1918), swine 1930 (H1-1930), seasonal 2005 (H1-2005), and a novel 2009 (H1-2009) H1N1 bound to the hHAR were compared. In all four HA-hHAR complexes, major interactions with the receptor binding were gained from HA residue Y95 and the conserved HA residues of the 130-loop, 190-helix, and 220-loop. However, introduction of the charged HA residues K145 and E227 in the 2009 HA binding pocket was found to increase the HA-hHAR binding efficiency in comparison to the three previously recognized H1N1 strains. Changing of the noncharged HA G225 residue to a negatively charged D225 provides a larger number of hydrogen-bonding interactions. The increase in hydrophilicity of the receptor binding region is apparently an evolution of the current pandemic flu from the 1918 Spanish, 1930 swine, and 2005 seasonal strains. Detailed analysis could help the understanding of how different HAs effectively attach and bind with the hHAR.

Why amantadine loses its function in influenza m2 mutants: MD simulations.

Molecular dynamics simulations of the drug-resistant M2 mutants, A30T, S31N, and L26I, were carried out to investigate the inhibition of M2 activity using amantadine (AMT). The closed and open channel conformations were examined via non- and triply protonated H37. For the nonprotonated state, these mutants exhibited zero water density in the conducting region, and AMT was still bound to the channel pore. Thus, water transport is totally suppressed, similar to the wild-type channel. In contrast, the triply protonated states of the mutants exhibited a different water density and AMT position. A30T and L26I both have a greater water density compared to the wild-type M2, while for the A30T system, AMT is no longer inside the pore. Hydrogen bonding between AMT and H37 crucial for the bioactivity is entirely lost in the open conformation. The elimination of this important interaction of these mutations is responsible for the lost of AMTs function in influenza A M2. This is different for the S31N mutant in which AMT was observed to locate at the pore opening region and bond with V27 instead of S31.

Source of High Pathogenicity of an Avian Influenza Virus H5N1: Why H5 Is Better Cleaved by Furin

The origin of the high pathogenicity of an emerging avian influenza H5N1 due to the -RRRKK- insertion at the cleavage loop of the hemagglutinin H5, was studied using the molecular dynamics technique, in comparison with those of the noninserted H5 and H3 bound to the furin (FR) active site. The cleavage loop of the highly pathogenic H5 was found to bind strongly to the FR cavity, serving as a conformation suitable for the proteolytic reaction. With this configuration, the appropriate interatomic distances were found for all three reaction centers of the enzyme-substrate complex: the arrangement of the catalytic triad, attachment of the catalytic Ser(368) to the reactive S1-Arg, and formation of the oxyanion hole. Experimentally, the--RRRKK--insertion was also found to increase in cleavage of hemagglutinin by FR. The simulated data provide a clear answer to the question of why inserted H5 is better cleaved by FR than the other subtypes, explaining the high pathogenicity of avian influenza H5N1.

How does each substituent functional group of oseltamivir lose its activity against virulent H5N1 influenza mutants

To reveal the source of oseltamivir-resistance in influenza (A/H5N1) mutants, the drug-target interactions at each functional group were investigated using MD/LIE simulations. Oseltamivir in the H274Y mutation primarily loses the electrostatic and the vdW interaction energies at the -NH(3)(+) and -OCHEt(2) moieties corresponding to the weakened hydrogen-bonds and changed distances to N1 residues. Differentially, the N294S mutation showed small changes of binding energies and intermolecular interactions. Interestingly, the presence of different conformations of E276 positioned between the -OCHEt(2) group and the mutated residue is likely to play an important role in oseltamivir-resistant identification. In the H274Y mutant, it moves towards the -OCHEt(2) group leading to a reduction in hydrophobicity and pocket size, whilst in the N294S mutant it acts as the hydrogen network center bridging with R224 and the mutated residue S294. The molecular details have answered a question of how the H274Y and N294S mutations confer the high- and medium-level of oseltamivir-resistance to H5N1.

Analysis and assay of oseltamivir-resistant mutants of influenza neuraminidase via direct observation of drug unbinding and rebinding in simulation

The emergence of influenza drug resistance is a major public health concern. The molecular basis of resistance to oseltamivir (Tamiflu) is investigated using a computational assay involving multiple 500 ns unrestrained molecular dynamics (MD) simulations of oseltamivir complexed with mutants of H1N1-2009 influenza neuraminidase. The simulations, accelerated using graphics processors (GPUs), and using a fully explicit model of water, are of sufficient length to observe multiple drug unbinding and rebinding events. Drug unbinding occurs during simulations of known oseltamivir-resistant mutants of neuraminidase. Molecular-level rationalizations of drug resistance are revealed by analysis of these unbinding trajectories, with particular emphasis on the dynamics of the mutant residues. The results indicate that MD simulations can predict weakening of binding associated with drug resistance. In addition, visualization and analysis of binding site water molecules reveal their importance in stabilizing the binding mode of the drug. Drug unbinding is accompanied by conformational changes, driven by the mutant residues, which results in flooding of a key pocket containing tightly bound water molecules. This displaces oseltamivir, allowing the tightly bound water molecules to be released into bulk. In addition to the role of water, analysis of the trajectories reveals novel behavior of the structurally important 150-loop. Motion of the loop, which can move between an open and closed conformation, is intimately associated with drug unbinding and rebinding. Opening of the loop occurs coincidentally with drug unbinding, and interactions between oseltamivir and the loop seem to aid in the repositioning of the drug back into an approximation of its original binding mode on rebinding. The similarity of oseltamivir to a transition state analogue for neuraminidase suggests that the dynamics of the loop could play an important functional role in the enzyme, with loop closing aiding in binding of the substrate and loop opening aiding the release of the product.