The enzymatic hydrolysis rate of cellulose decreases with irreversible adsorption of cellobiohydrolase I

Protein adsorption onto solid substrates usually takes place in an irreversible fashion and this irreversible adsorption also occurs in some enzymatic reactions. In this work the adsorption behavior of intact β-1, 4-glucan-cellobiohydrolase (CBH I) from Trichoderma reesei onto microcrystalline cellulose was monitored by surface plasmon resonance and UV-spectral method. It was found that there existed reversible binding and irreversible binding of CBH I during its interaction with cellulose substrate. To evaluate the influence of adsorption on cellulose enzymatic hydrolysis, the reaction dynamics on pure cellulose were determined. A plot of the hydrolysis rate against the surface density of irreversibly adsorbed CBH I, revealed an inverse relationship in which an apparent decrease in the hydrolysis rate was observed with increasing surface density. Taken together, results presented here should be useful for modifying the binding characteristics of CBH I and making them more effective in cellulose hydrolysis.     

Activation of Candida rugosa lipase at alkane-aqueous interfaces: a molecular dynamics study

The effect of solvent hydrophobicity on activation of Candida rugosa lipase (CRL) was investigated by performing molecular dynamics simulations for four nano seconds (ns). The closed/inactive conformer of CRL (PDB code 1TRH) was solvated in three alkane-aqueous environments. The alkanes aggregated in a predominantly aqueous environment and by 1 ns a stable spherical alkane-aqueous interface had formed. This led to the interfacial activation of CRL. On analyzing the simulated conformers with the closed conformer of CRL, the flap was found to have opened from a closed state by 7.7 A, 10.2 A, 13.1 A at hexane-aqueous, octane-aqueous, and decane-aqueous interfaces. Further, essential dynamics analysis revealed that major anharmonic fluctuations were confined to residues 64-81, the flap of CRL.     

Ecological risk assessment of genetically modified crops based on cellular automata modeling

The assessment of ecological risk in genetically modified (GM) biological systems is critically important for decision-making and public acceptance. Cellular automata (CA) provide a potential modeling and simulation framework for representing relationships and interspecies interactions both temporally and spatially. In this paper, a simple subsystem contains only four species: crop, target pest, non-target pest and enemy insect, and a three layer arrangement of L × L stochastic cellular automata with a periodic boundary were established. The simulation of this simplified system showed abundant and sufficient complexity in population assembly and densities, suggesting a prospective application in ecological risk assessment of GM crops.     

Structure of deoxyhemoglobin: ionizable groups and polyethylene glycol

X-ray studies on deoxy-hemoglobin have been reported on crystals grown under conditions of high (about 2.5 M) and low salt (about 0.1 M). The high-salt crystals were grown in water, whereas the low-salt crystals were prepared in polyethylene glycol solutions (m.w. 6000-8000 Da, 10-30% w/v). Oxygen-binding characteristics of hemoglobin in these two environments differ radically. In salt solutions, hemoglobin binds oxygen with a p50 value of about 5 torr of oxygen and in a cooperative manner characterized with an n value of Hill varying from two to three. In polyethylene glycol solutions, hemoglobin crystals are oxygenated with a p50 value of about 270 torr of oxygen, without exhibiting a cooperative effect. I report on a detailed study of the X-ray data defining the dimer interface (alpha1beta2) of these two forms of hemoglobin. The study reveals that the main difference between the two structures lies in the number and arrangement of the water molecules and in distances between ionizable side chains in the dimer interface. I propose that these differences lead to significant shifts in the pK values of the ionizable groups in the dimer interface.     

Effect of L-leucine on p-aminohippurate accumulation by mammalian renal cortical slices

The effect of several amino acids (L-glutamate, L-phenylalanine, L-leucine, glycine, L-tryptophan, L-histidine, L-valine) on p-aminohippurate accumulation was evaluated in rat, mouse and rabbit kidneys. Only leucine was found to enhance p-aminohippurate accumulation in rat and mouse renal cortical slices but not in rabbit slices. Leucine had no effect on tetraethylammonium accumulation. In rat renal cortical slices, leucine increased the uptake and decreased the runout of p-aminohippurate, each effect contributing to the increase in p-aminohippurate accumulation. The apparent K_m of p-aminohippurate uptake was decreased by leucine with no change in the apparent V. Aminooxyacetate (an inhibitor of transamination of leucine) partially depressed the stimulating effect of leucine on p-aminohippurate accumulation, whereas α-ketoisocaproic acid (a metabolite of leucine formed by transamination) enhanced p-aminohippurate accumulation, suggesting that the metabolism of leucine in kidney slices may be necessary for the stimulating effect on p-aminohippurate transport.     

Lipid reducing activity of novel cholic acid (CA) analogs: Design,synthesis and preliminary mechanism study

Bile acids, initially discovered as endogenous ligands of farnesoid X receptor (FXR), play a central role in the regulation of triglyceride and cholesterol metabolism and have recently emerged as a privileged structure for interacting with nuclear receptors relevant to a large array of metabolic processes. In this paper, phenoxy containing cholic acid derivatives with excellent drug-likeness have been designed, synthesized, and assayed as agents against cholesterol accumulation in Raw264.7 macrophages. The most active compound 14b reduced total cholesterol accumulation in Raw264.7 cells up to 30.5% at non-toxic 10 μM and dosage-dependently attenuated oxLDL-induced foam cell formation. Western blotting and qPCR results demonstrate that 14b reduced both cholesterol and lipid in Raw264.7 cells through (1) increasing the expression of cholesterol transporters ABCA1 and ABCG1, (2) accelerating ApoA1-mediated cholesterol efflux. Through a cell-based luciferase reporter assay and molecular docking analysis, LXR was identified as the potential target for 14b. Interestingly, unlike conventional LXR agonist, 14b did not increase lipogenesis gene SREBP-1c expression. Overall, these diverse properties disclosed herein highlight the potential of 14b as a promising lead for further development of multifunctional agents in the therapy of cardiovascular disease.     

Single‐Particle Performances and Properties of LiFePO4 Nanocrystals for Li‐Ion Batteries

It has been recently reported that the solution diffusion, efficiency porosity, and electrode thickness can dominate the high rate performance in the 3D‐printed and traditional LiMn_0.21Fe_0.79PO₄ electrodes for Li‐ions batteries. Here, the intrinsic properties and performances of the single‐particle (SP) of LiFePO₄ are investigated by developing the SP electrode and creating the SP‐model, which will share deep insight on how to further improve the performance of the electrode and related materials. The SP electrode is generated by fully scattering and distributing LiFePO₄ nanoparticles to contact with the conductive network of carbon nanotube or conductive carbon to demonstrate the sharpest cyclic voltammetry peak and related SP‐model is developed, by which it is found that the interfacial rate constant in aqueous electrolyte is one order of magnitude higher, accounting for the excellent rate performance in aqueous electrolyte for LiFePO₄. For the first time it has been proposed that the insight of pre‐exponential factor of interface kinetic Arrhenius equation is related to desolvation/solvation process. Thus, this much higher interfacial rate constant in aqueous electrolyte shall be attributed to the much larger pre‐exponential factor of interface kinetic Arrhenius equation, because the desolvation process is much easier for Li‐ions jumping from aqueous electrolyte to the Janus solid–liquid interface of LiFePO₄.     

Enantioselective liquid‐liquid extraction of DL‐mandelic acid using chiral diphosphine ligands as extractants

In order to expand the application range of chiral diphosphine ligands, (S)‐BINAP, (S)‐SEGPHOS, and (S)‐MeO‐BIPHEP were employed as extractants to recognize DL‐mandelic acid. The results indicated that (S)‐SEGPHOS‐Cu exhibited considerable ability to recognize DL‐mandelic acid with operational enantioselectivity (α) of 2.677. The process of extraction of DL‐mandelic acid using (S)‐SEGPHOS‐Cu as extractant was systematically investigated. Performance factor (pf) was adopted to comprehensively evaluate the extraction. After optimization by response surface methodology (RSM), the optimal extraction condition is temperature of 5.5°C, (S)‐SEGPHOS‐Cu concentration of 3.0 mmol/L, and pH of 8.0. And the predicted and experimental maximum values of pf were 0.26374 and 0.26839, respectively.     

Molecular dynamics of lipid association at the hydrophobic interface of gramicidin S

Gramicidin S was incorporated into dimyristoylphosphatidylcholine dispersions and the observed two-component EPR spectra of spin-labelled lipids at 30 °C were analysed by a two-stage algorithm, including spectral subtractions and two-site exchange simulations. A limited range of temperatures around 30 °C was found suitable for such measurements. It has been found that negatively charged labelled lipids display a selectivity towards the intramembranous part of the peptide. The relative association constants for spin-labelled stearic acid (14-SASL) and phosphatidylserine (14-PSSL) were K _r = 2.08± 0.10 and 1.18±0.08, respectively, when compared with the zwitterionic phosphatidylcholine label (14-PCSL, K _r≡ 1). The lateral diffusion of spin-labelled lipids in peptide-free regions causes exchange between those labels in the bulk fluid lipid phase and motionally restricted boundary labelled lipids at the apolar interface of gramicidin S. Owing to exchange, the spectral anisotropy of labelled lipids giving rise to the slow-motion spectral component was gradually decreased, and there was an augmentation of spectral intensity in between the motionally restricted (slow motion) and the fast tumbling (motionally averaged) labelled lipid components. Two-component exchange simulations allowed the determination of off-rates of labelled phospholipids, showing an inverse proportionality with lipid-protein selectivity. Spin-labelled procaine exhibited limited selectivity and fast exchange similar to the on-coming non-specifically associated lipids. Received: 25 May 1998 / Revised version: 14 September 1998 / Accepted: 5 November 1998     

Effect of extraction method on the yield of furanocoumarins from fruits of Archangelica officinalis Hoffm

Optimal conditions for the extraction and analysis of furanocoumarins from fruits of Archangelica officinalis Hoffm. have been determined. The following extraction methods were used: exhaustive extraction in a Soxhlet apparatus, ultrasonication at 25 and 60 degrees C, microwave-assisted solvent extraction in open and closed systems, and accelerated solvent extraction (ASE). In most cases the yields of furanocoumarins were highest using the ASE method. The effects of extracting solvent, temperature and time of extraction using this method were investigated. The highest yield of furanocoumarins by ASE was obtained with methanol at 100-130 degrees C for 10 min. The extraction yields of furanocoumarins from plant material by ultrasonication at 60 degrees C and microwave-assisted solvent extraction in an open system were comparable to the extraction yields obtained in the time- and solvent-consuming exhaustive process involving the Soxhlet apparatus.     

Statistical inference in mixed models and analysis of twin and family data

Analysis of data from twin and family studies provides the foundation for studies of disease inheritance. The development of advanced theory and computational software for general linear models has generated considerable interest for using mixed-effect models to analyze twin and family data, as a computationally more convenient and theoretically more sound alternative to the classical structure equation modeling. Despite the long history of twin and family data analysis, some fundamental questions remain unanswered. We addressed two important issues. One is to determine the necessary and sufficient conditions for the identifiability in the mixed-effects models for twin and family data. The other is to derive the asymptotic distribution of the likelihood ratio test, which is novel due to the fact that the standard regularity conditions are not satisfied. We considered a series of specific yet important examples in which we demonstrated how to formulate mixed-effect models to appropriately reflect the data, and our key idea is the use of the Cholesky decomposition. Finally, we applied our method and theory to provide a more precise estimate of the heritability of two data sets than the previously reported estimate.     

Synthesis and antibacterial evaluation of a novel series of 2-(1,2-dihydro-3-oxo-3H-pyrazol-2-yl)benzothiazoles

The 2‐(1,2‐dihydro‐3‐oxo‐3H‐pyrazol‐2‐yl)benzothiazole scaffold was selected as a central core structure for the discovery of novel antibacterial compounds. A systematic variation of the substituents on the oxo‐pyrazole moiety, as well as on the benzo moiety, led to the creation of a small and focused library of benzothiazoles that was subjected to antibacterial screening. In a first round of screening, activity of the compounds against six representative microorganisms was established. For the most potent congeners, MIC values against S. aureus and P. aeruginosa were determined. The structure activity relationship study clearly revealed that subtle structural variations influence the antibacterial activity to a large extent. The most potent congeners displayed MIC values of 3.30 μM .     

Choice of prognostic estimators in joint models by estimating differences of expected conditional Kullback-Leibler risks

Prognostic estimators for a clinical event may use repeated measurements of markers in addition to fixed covariates. These measurements can be linked to the clinical event by joint models that involve latent features. When the objective is to choose between different prognosis estimators based on joint models, the conventional Akaike information criterion is not well adapted and decision should be based on predictive accuracy. We define an adapted risk function called expected prognostic cross-entropy. We define another risk function for the case of right-censored observations, the expected prognostic observed cross-entropy (EPOCE). These risks can be estimated by leave-one-out cross-validation, for which we give approximate formulas and asymptotic distributions. The approximated cross-validated estimator CVPOL (a) of EPOCE is studied in simulation and applied to the comparison of several joint latent class models for prognosis of recurrence of prostate cancer using prostate-specific antigen measurements.