Dynamic conformational changes due to the ATP hydrolysis in the motor domain of myosin: 10-ns molecular dynamics simulations

Muscle contraction is caused by directed movement of myosin heads along actin filaments. This movement is triggered by ATP hydrolysis, which occurs within the motor domain of myosin. The mechanism for this intramolecular process remains unknown owing to a lack of ways to observe the detailed motions of each atom in the myosin molecule. We carried out 10-ns all-atom molecular dynamics simulations to investigate the types of dynamic conformational changes produced in the motor domain by the energy released from ATP hydrolysis. The results revealed that the thermal fluctuations modulated by perturbation of ATP hydrolysis are biased in one direction that is relevant to directed movement of the myosin head along the actin filament.     

Congeneric but still distinct: how closely related trypsin ligands exhibit different thermodynamic and structural properties

A congeneric series of benzamidine-type ligands with a central proline moiety and a terminal cycloalkyl group—linked by a secondary amine, ether, or methylene bridge—was synthesized as trypsin inhibitors. This series of inhibitors was investigated by isothermal titration calorimetry, crystal structure analysis in two crystal forms, and molecular dynamics simulations. Even though all of these congeneric ligands exhibited essentially the same affinity for trypsin, their binding profiles at the structural, dynamic, and thermodynamic levels are very distinct. The ligands display a pronounced enthalpy/entropy compensation that results in a nearly unchanged free energy of binding, even though individual enthalpy and entropy terms change significantly across the series. Crystal structures revealed that the secondary amine-linked analogs scatter over two distinct conformational families of binding modes that occupy either the inside or of the outside the protein's S3/S4 specificity pocket. In contrast, the ether-linked and methylene-linked ligands preferentially occupy the hydrophobic specificity pocket. This also explains why the latter ligands could only be crystallized in the conformationally restricting closed crystal form whereas the derivative with the highest residual mobility in the series escaped our attempts to crystallize it in the closed form; instead, a well-resolved structure could only be achieved in the open form with the ligand in disordered orientation. These distinct binding modes are supported by molecular dynamics simulations and correlate with the shifting enthalpic/entropic signatures of ligand binding. The examples demonstrate that, at the molecular level, binding modes and thermodynamic binding signatures can be very different even for closely related ligands. However, deviating binding profiles provide the opportunity to optimally address a given target.     

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.     

Insights into internal dynamics of 6-phosphogluconolactonase from Trypanosoma brucei studied by nuclear magnetic resonance and molecular dynamics

Nuclear magnetic resonance is used to investigate the backbone dynamics in 6-phosphogluconolactonase from Trypanosoma brucei (Tb6PGL) with (holo-) and without (apo-) 6-phosphogluconic acid as ligand. Relaxation data were analyzed using the model-free approach and reduced spectral density mapping. Comparison of predictions, based on 77 ns molecular dynamics simulations, with the observed relaxation rates gives insight into dynamical properties of the protein and their alteration on ligand binding. Data indicate dynamics changes in the vicinity of the binding site. More interesting is the presence of perturbations located in remote regions of this well-structured globular protein in which no large-amplitude motions are involved. This suggests that delocalized changes in dynamics that occur upon binding could be a general feature of protein-target interactions.     

Molecular dynamics simulation studies for DNA sequence recognition by reactive metabolites of anticancer compounds

The discovery of novel anticancer molecules 5F‐203 (NSC703786) and 5‐aminoflavone (5‐AMF, NSC686288) has addressed the issues of toxicity and reduced efficacy by targeting over expressed Cytochrome P450 1A1 (CYP1A1) in cancer cells. CYP1A1 metabolizes these compounds into their reactive metabolites, which are proven to mediate their anticancer effect through DNA adduct formation. However, the drug metabolite–DNA binding has not been explored so far. Hence, understanding the binding characteristics and molecular recognition for drug metabolites with DNA is of practical and fundamental interest. The present study is aimed to model binding preference shown by reactive metabolites of 5F‐203 and 5‐AMF with DNA in forming DNA adducts. To perform this, three different DNA crystal structures covering sequence diversity were selected, and 12 DNA‐reactive metabolite complexes were generated. Molecular dynamics simulations for all complexes were performed using AMBER 11 software after development of protocol for DNA‐reactive metabolite system. Furthermore, the MM‐PBSA/GBSA energy calculation, per‐nucleotide energy decomposition, and Molecular Electrostatic Surface Potential analysis were performed. The results obtained from present study clearly indicate that minor groove in DNA is preferable for binding of reactive metabolites of anticancer compounds. The binding preferences shown by reactive metabolites were also governed by specific nucleotide sequence and distribution of electrostatic charges in major and minor groove of DNA structure. Overall, our study provides useful insights into the initial step of mechanism of reactive metabolite binding to the DNA and the guidelines for designing of sequence specific DNA interacting anticancer agents. Copyright © 2014 John Wiley & Sons, Ltd.     

Inhibitor binding studies of Mycobacterium tuberculosis MraY (Rv2156c): Insights from molecular modeling,docking, and simulation studies

Abstract

Tuberculosis (TB) is a contagious disease caused by Mycobacterium tuberculosis (M.tb) or tubercule bacillus, and H37Rv is the most studied clinical strain. The recent development of resistance to existing drugs is a global health-care challenge to control and cure TB. Hence, there is a critical need to discover new drug targets in M.tb. The members of peptidoglycan biosynthesis pathway are attractive target proteins for antibacterial drug development. We have performed in silico analysis of M.tb MraY (Rv2156c) integral membrane protein and constructed the three-dimensional (3D) structure model of M.tb MraY based on homology modeling method. The validated model was complexed with antibiotic muraymycin D2 (MD2) and was used to generate structure-based pharmacophore model (e-pharmacophore). High-throughput virtual screening (HTVS) of Asinex database and molecular docking of hits was performed to identify the potential inhibitors based on their mode of interactions with the key residues involved in M.tb MraY–MD2 binding. The validation of these molecules was performed using molecular dynamics (MD) simulations for two best identified hit molecules complexed with M.tb MraY in the lipid bilayer, dipalmitoylphosphatidyl-choline (DPPC) membrane. The results indicated the stability of the complexes formed and retained non-bonding interactions similar to MD2. These findings may help in the design of new inhibitors to M.tb MraY involved in peptidoglycan biosynthesis.     

Design,synthesis and biological evaluation of novel oseltamivir derivatives as potent neuraminidase inhibitors

Neuraminidase (NA) is one of the particular potential targets for novel antiviral therapy. In this work, a series of neuraminidase inhibitors with the cyclohexene scaffold were studied based upon the combination of 3D-QSAR, molecular docking, and molecular dynamics techniques. The results indicate that the built 3D-QSAR models yield reliable statistical information: the correlation coefficient (r²) and cross-validation coefficient (q²) of CoMFA (comparative molecular field analysis) are 0.992 and 0.819; the r² and q² of CoMSIA (comparative molecular similarity analysis) are 0.992 and 0.863, respectively. Molecular docking and MD simulations were conducted to confirm the detailed binding mode of enzyme-inhibitor system. The new NA inhibitors had been designed, synthesized, and their inhibitory activities against group-1 neuraminidase were determined. One agent displayed excellent neuraminidase inhibition, with IC₅₀ value of 39.6?μM against NA, while IC₅₀ value for oseltamivir is 61.1?μM. This compound may be further investigated for the treatment of infection by the new type influenza virus.     

New developments in first-principles excited-state dynamics simulations: unveiling the solvent specificity of excited anionic cluster relaxation and electron solvation

Charge-transfer-to-solvent excited iodide–polar solvent molecule clusters, [I^? (Solv)_n]^*, have attracted substantial interest over the past 20 years as they can undergo intriguing relaxation processes leading ultimately to the formation of gas-phase molecular analogues of the solvated electron. In this review article, we present a comprehensive overview of the development and application of state-of-the-art first-principles molecular dynamics simulation approaches to understand and interpret the results of femtosecond photoelectron spectroscopy experiments on [I^? (Solv)_n]^* relaxation, which point to a high degree of solvent specificity in the electron solvation dynamics. The intricate molecular details of the [I^? (Solv)_n]^* relaxation process are presented, and by contrasting the relaxation mechanisms of clusters with several different solvents (water, methanol and acetonitrile), the molecular basis of the solvent specificity of electron solvation in [I^? (Solv)_n]^* is uncovered, leading to a more refined view of the manifestation of electron solvation in small gas-phase clusters.     

Planktonic encounter rates in homogeneous isotropic turbulence: the case of predators with limited fields of sensory perception

It is a well-established fact that encounter rates between different species of planktonic microorganism, either swimming, or passively advected by the flow, are enhanced in the presence of turbulence. However, due to the complexity of the various calculations involved, current encounter rate theories are based on a number of simplifying approximations, which do not reflect reality. In particular, a typical planktonic predator is usually assumed to have perfect 'all round vision', i.e. it can perceive a prey particle at any relative orientation, provided it lies within some given contact radius R. Unfortunately, there is a wide body of experimental evidence that this is not the case. In this study the encounter problem for a predator with a limited field of sensory perception, swimming in a turbulent flow, is examined from first principles and a number of new modelling ideas proposed. A wide range of kinematic simulations are also undertaken to test these predictions. Particular attention is paid to the swimming strategy such a predator might undertake to enhance its encounter rate. It turns out that the predicted optimum swimming strategies differ radically from the results of previous work. Empirical evidence is also presented which appears to support these new findings.