Binding pattern analysis and structural insight into the inhibition mechanism of Sterol 24-C methyltransferase by docking and molecular dynamics approach

<div><p>Sterol 24-C methyltransferase (SMT) plays a major role during the production of steroids, especially in the biosynthesis of ergosterol, which is the major membrane sterol in leishmania parasite, and the etiological basis of leishmaniasis. Mechanism-based inactivators bind irreversibly to SMT and interfere with its activity to provide leads for the design of antileishmanial inhibitors. In this study, computational methods are used for studying enzyme–inhibitor interactions. fifty-seven mechanism-based inactivators are docked using 3 docking/scoring approaches (FRED, GoldScore, and ChemScore). A consensus is generated from the results of different scoring functions which are also validated with already reported experimental values. The most active compound thus obtained is subjected to molecular dynamics simulation of length 20 ns. Stability of simulation is analyzed through root-mean-square deviation, beta factor (B-factor), and radius of gyration (Rg). Hydrogen bonds and their involvement in the structural stability of the enzyme are evaluated through radial distribution function. Newly developed application of axial frequency distribution that determines three-particle correlation on frequency distributions before and after simulation has provided a clear evidence for the movement of the inhibitor into active pocket of the enzyme. Results yielded strong interaction between enzyme and the inhibitor throughout the simulation. Binding of the inhibitor with enzyme has stabilized the enzyme structure; thus, the inhibitor has the potential to become a lead compound.</p></div

Plant Terpenoid Permeability through Biological Membranes Explored via Molecular Simulations

Plants synthesize small molecule diterpenes composed of 20 carbons from precursor isopentenyl diphosphate and dimethylallyl disphosphate, manufacturing diverse compounds used for defense, signaling, and other functions. Industrially, diterpenes are used as natural aromas and flavoring, as pharmaceuticals, and as natural insecticides or repellents. Despite diterpene ubiquity in plant systems, it remains unknown how plants control diterpene localization and transport. For many other small molecules, plant cells maintain transport proteins that control compound compartmentalization. However, for most diterpene compounds, specific transport proteins have not been identified, and so it has been hypothesized that diterpenes may cross biological membranes passively. Through molecular simulation, we study membrane transport for three complex diterpenes from among the many made by members of the Lamiaceae family to determine their permeability coefficient across plasma membrane models. To facilitate accurate simulation, the intermolecular interactions for leubethanol, abietic acid, and sclareol were parametrized through the standard CHARMM methodology for incorporation into molecular simulations. To evaluate the effect of membrane composition on permeability, we simulate the three diterpenes in two membrane models derived from sorghum and yeast lipidomics data. We track permeation events within our unbiased simulations, and compare implied permeation coefficients with those calculated from Replica Exchange Umbrella Sampling calculations using the inhomogeneous solubility diffusion model. The diterpenes are observed to permeate freely through these membranes, indicating that a transport protein may not be needed to export these small molecules from plant cells. Moreover, the permeability is observed to be greater for plant-like membrane compositions when compared against animal-like membrane models. Increased permeability for diterpene molecules in plant membranes suggest that plants have tailored their membranes to facilitate low-energy transport processes for signaling molecules

Plant Terpenoid Permeability through Biological Membranes Explored via Molecular Simulations

Plants synthesize small molecule diterpenes composed of 20 carbons from precursor isopentenyl diphosphate and dimethylallyl disphosphate, manufacturing diverse compounds used for defense, signaling, and other functions. Industrially, diterpenes are used as natural aromas and flavoring, as pharmaceuticals, and as natural insecticides or repellents. Despite diterpene ubiquity in plant systems, it remains unknown how plants control diterpene localization and transport. For many other small molecules, plant cells maintain transport proteins that control compound compartmentalization. However, for most diterpene compounds, specific transport proteins have not been identified, and so it has been hypothesized that diterpenes may cross biological membranes passively. Through molecular simulation, we study membrane transport for three complex diterpenes from among the many made by members of the Lamiaceae family to determine their permeability coefficient across plasma membrane models. To facilitate accurate simulation, the intermolecular interactions for leubethanol, abietic acid, and sclareol were parametrized through the standard CHARMM methodology for incorporation into molecular simulations. To evaluate the effect of membrane composition on permeability, we simulate the three diterpenes in two membrane models derived from sorghum and yeast lipidomics data. We track permeation events within our unbiased simulations, and compare implied permeation coefficients with those calculated from Replica Exchange Umbrella Sampling calculations using the inhomogeneous solubility diffusion model. The diterpenes are observed to permeate freely through these membranes, indicating that a transport protein may not be needed to export these small molecules from plant cells. Moreover, the permeability is observed to be greater for plant-like membrane compositions when compared against animal-like membrane models. Increased permeability for diterpene molecules in plant membranes suggest that plants have tailored their membranes to facilitate low-energy transport processes for signaling molecules

Moleculer dynamics simulaiton revealed reciever domain of <i>Acinetobacter baumannii</i> BfmR enzyme as the hot spot for future antibiotics designing

Acinetobacter baumannii is an alarming nosocomial pathogen that is resistant to multiple drugs. The pathogen is forefront of scientific attention because of high mortality and morbidity found for its complications in the past decade. As a consequence, identification of novel drug candidates and subsequent designing of novel chemical scaffolds is an imperative need of time. In the present study, we used a recently reported structure of BfmR enzyme and performed structure based virtual screening, MD simulation and binding free energies calculations. MD simulation revealed a profound movement of the best-characterized inhibitor towards the α4-β5-α5 face of the enzyme receiver domain, thus indicating its high affinity for this site compared to phosphorylation. Furthermore, it was observed that the enzyme and enzyme-inhibitor complex have high structure stability with mean RMSD of 1.2 and 1.1 Å, respectively. Binding free energy calculations for the complex unraveled high stability with MMGBSA score of −26.21 kcal/mol and MMPBSA score of −1.47 kcal/mol. Van der Waal energy was found highly favorable with value of −30.25 kcal/mol and dominated significantly the overall binding energy. Furthermore, a novel WaterSwap assay was used to circumvent the limitations of MMGB/PBSA that complements the inhibitor affinity for enzyme active pocket as depicted by the low convergence of Bennett, TI and FEP algorithms. Results yielded from this study will not only give insight into the phenomena of inhibitor movement towards the enzyme receiver domain, but will also provide a useful baseline for designing derivatives with improved biological and pharmacokinetics profiles. Communicated by Ramaswamy H. Sarma</p

Toward novel inhibitors against KdsB: a highly specific and selective broad-spectrum bacterial enzyme

<p>KdsB (3-deoxy-manno-octulosonate cytidylyltransferase) is a highly specific and selective bacterial enzyme that catalyzes KDO (3-Deoxy-D-mano-oct-2-ulosonic acid) activation in KDO biosynthesis pathway. Failure in KDO biosynthesis causes accumulation of lipid A in the bacterial outer membrane that leads to cell growth arrest. This study reports a combinatorial approach comprising virtual screening of natural drugs library, molecular docking, computational pharmacokinetics, molecular dynamics simulation, and binding free energy calculations for the identification of potent lead compounds against the said enzyme. Virtual screening demonstrated 1460 druglike compounds in a total of 4800, while molecular docking illustrated Ser13, Arg14, and Asp236 as the anchor amino acids for recognizing and binding the inhibitors. Functional details of the enzyme in complex with the best characterized compound-226 were explored through two hundred nanoseconds of MD simulation. The ligand after initial adjustments jumps into the active cavity, followed by the deep cavity, and ultimately backward rotating movement toward the initial docked site of the pocket. During the entire simulation period, Asp236 remained in contact with the ligand and can be considered as a major catalytic residue of the enzyme. Radial distribution function confirmed that toward the end of the simulation, strengthening of ligand-receptor occurred with ligand and enzyme active residues in close proximity. Binding free energy calculations via MM(PB/GB)SA and Waterswap reaction coordinates, demonstrated the high affinity of the compound for enzyme active site residues. These findings can provide new avenues for designing potent compounds against notorious bacterial pathogens.</p

Lignin Nanoparticle Morphology Depends on Polymer Properties and Solvent Composition: an Experimental and Computational Study

Kraft lignin is an underutilized sideproduct from the pulp and paper industry that can be used as a feedstock for various bio-based products. In particular, microstructured lignin particles are used as functionalized materials in applications such as the controlled release of active substances and the absorption of contaminants and as polymer additives. Gaps in our understanding of lignin molecular interactions and morphology in various solvents limit our ability to tailor processes to produce particles with desired properties. We empirically demonstrate that the dispersity and aqueous phase polarizability influence lignin polymer chain conformation and thus the resulting nanoparticle morphology. Our complementary experimental and computational studies investigate lignin dynamics and indicate that a high molar mass polymer with a low polydispersity index, which contains numerous aromatic structures, will aggregate via hydrophobic interactions and form compact globules in an aqueous environment. Even in the presence of a sacrificial negatively charged surfactant sodium dodecyl sulfate, electronic interactions of aromatic units predominate, resulting in a compact globule after the surfactant is removed. Additionally, the number of inter-lignin contacts, solvent–polymer hydrogen bonds, and radius of gyration for a high molar mass, low polydispersity index lignin polymer remained almost constant in water and in the mixed (water/ethanol) solvent system containing the surfactant. We also report dendritic lignin nanoparticles obtained experimentally from low molar mass, high polydispersity index lignin, in a water/ethanol mixed aqueous phase. Molecular simulation results suggest that the intermolecular forces driving this morphology are stable inter-lignin contacts over time and enhanced lignin-solvent hydrogen bonding in the mixed solvent. Our results demonstrate the controlled behavior of lignin nanoparticle morphologies in aqueous solvents. This work contributes toward establishing property–performance correlations for lignin and advances knowledge for the synthesis of shape-specific lignin nanoparticles