Correction: Protocol of the Healthy Brain Study:An accessible resource for understanding the human brain and how it dynamically and individually operates in its bio-social context

[This corrects the article DOI: 10.1371/journal.pone.0260952.]

Duration and Clinical Relevance of Postantibiotic Effect in Relation to the Dosing Interval

The influence of half-life on the postantibiotic effect (PAE) of tobramycin against Pseudomonas aeruginosa and Staphylococcus aureus was investigated during one dosing interval. Tobramycin half-lives of 0.5 to 2.5 h were simulated in an in vitro model, and the PAE was determined by an enzymatic inactivation method at different time points, i.e., when the tobramycin concentrations were 20×, 5×, and 1× the MIC. At the time point during therapy when the tobramycin concentrations had declined to 1× the MIC, at a tobramycin half-life of 0.5 h, the times of the PAEs were approximately 0.7 and 1.7 h for P. aeruginosa and S. aureus, respectively, and the PAE disappeared completely at half-lives corresponding to those found in humans (i.e., 2 to 2.5 h). The PAE itself cannot be fully explained by the presence of free intrabacterial tobramycin or the emergence of resistant subpopulations. The explanation for the disappearance of the PAE during the dosing interval may therefore be explained by the repair of sublethal damage. Since the standard method of determining the PAE in animal models is somewhat different from the method used for measurement of the PAE in vitro, the conditions under which the PAE is measured in vivo were also simulated in the in vitro model. This resulted in PAEs longer than those found by the standard method of obtaining in vitro PAE measurements. We conclude that the PAE of tobramycin, as determined by conventional in vitro methods, has virtually no clinical importance. PAEs determined in vivo may have some clinical relevance, but they are probably primarily caused by sub-MIC effects

A set-up to study photochemically induced dynamic nuclear polarization in phtosynthetic reaction centres by solid-state NMR

418-423Recently, solid-state NMR spectroscopy became a viable method to investigate photosynthetic reaction centres (RCs) on t e atomic level. To study the electronic structure of the radical cation state of the RC, occurring after the electron emission, solid-state NMR using an illumination set-up can be exploited. This paper describes the illumination set-up we designed for a standard Bruker wide-bore MAS NMR probe. In addition we demonstrate its application to get information from the  active site in photosynthetic reaction centres of Rhodobacter spaeroides R-26 by photochemically induced dynamic nuclear polarization (photo-CIDNP). Solid-state NMR spectra of natural abundance 13C in detergent solubilized quinone depleted photosynthetic reaction centres under continuous illumination showed exceptionally strong nuclear spin polarization in NMR lines. Both enhanced-absorptive and emissive polarization were seen in the carbon spectrum which could be assigned to a bacteriochlorophyll a (BChl a) cofactor, presumably the special pair BChl a. The sign and intensities of the 13C NMR signals provide information about the electron spin density distribution of the transiently formed radical P.+ on the atomic level

Population Pharmacokinetic Analysis of Nonlinear Behavior of Piperacillin during Intermittent or Continuous Infusion in Patients with Cystic Fibrosis

The purpose of this study was to describe the nonlinear pharmacokinetics of piperacillin observed during intermittent infusion and continuous infusion by using a nonparametric population modeling approach. Data were 120 serum piperacillin concentration measurements from eight adult cystic fibrosis (CF) patients. Individual pharmacokinetic parameter estimates during intermittent infusion or continuous infusion were calculated by noncompartmental analysis and with a maximum iterative two-stage Bayesian estimator. To simultaneously describe concentration-time data during intermittent infusion and continuous infusion, nonlinear models were parameterized as two-compartment Michaelis-Menten models. Models were fit to the data with the nonparametric expectation maximization algorithm. The calculations were executed on a remote supercomputer. Nonlinear models were evaluated by log-likelihood estimates, residual plots, and R(2) values, and predictive performance was based on bias (mean weighted error [MWE]) and precision (mean weighted square error [MWSE]). A linear pharmacokinetic model could not describe combined intermittent infusion and continuous infusion data well. A good population model fit to the intermittent infusion and continuous infusion data was obtained with the constructed nonlinear models. Maximum a posteriori probability (MAP) Bayesian R(2) values for the nonlinear models were 0.96 to 0.97. Median parameter estimates for the best nonlinear model were as follows: K(m), 58 ± 75 mg/liter (mean and standard deviation); V(max), 1,904 ± 1,009 mg/h; volume of distribution of the central compartment, 14.1 ± 3.0 liters; k(12), 0.63 ± 0.41 h(−1); and k(21), 0.37 ± 0.19 h(−1). The median bias (MWE) and precision (MWSE) values for MAP Bayesian estimation with the Michaelis-Menten model were 0.05 and 4.6 mg/liters, respectively. The developed nonlinear pharmacokinetic models can be used to optimize piperacillin therapy administered via continuous infusion in patients with CF and have distinct advantages over conventional linear models

Magic-Angle Spinning Nuclear Magnetic Resonance under Ultrahigh Field Reveals Two Forms of Intermolecular Interaction within CH 2

(3(1)R)-bacteriochlorophyll (BChl) c solid aggregates with an absorbance around 740 nm were formed from BChl c dimers, and 2-D homonuclear C-13-C-13 radio frequency-driven dipolar recoupling as well as proton-driven spin diffusion dipolar correlation NMR spectra have been collected in ultrahigh magnetic field. Doubling of signals is observed for most carbons in the BChl c macrocycle, leading to two correlation networks. In this way, two major fractions denoted types A and B are identified. Some of the ring carbons show multiple resonances, revealing additional slight differences in microstructural environment. 2-D heteronuclear H-1-C-13 correlation data have been recorded using the frequency- and phase-switched Lee-Goldburg technique to assign the H-1 response. N-15 chemical shifts are assigned from 2-D heteronuclear N-15-C-13 correlation experiments using spectrally induced filtering in combination with cross polarization. Also the nitrogen atoms in the pyrrole rings I, II, and IV (N-I, N-II, and N-IV, respectively) show two sets of resonances, each of which is connected to a single C-13 correlation network A or B. The C-13 chemical shifts are compared with the signals from antiparallel dimers in solution and with the response from chlorosomes previously reported. The data clearly show that the stacking in CH2Cl2-treated aggregates is different from the stacking in the chlorosomes and hexane-treated aggregates. Some degree of similarity with the antiparallel dimer form in solution transpires, in particular for the type A species. It is proposed that the CH2Cl2 precipitate represents a structural intermediate between the antiparallel dimer and the parallel stack as found in the chlorosome.Solid state NMR/Biophysical Organic Chemistr

NMR in target driven drug discovery:why not?

No matter the source of compounds, drug discovery campaigns focused directly on the target are entirely dependent on a consistent stream of reliable data that reports on how a putative ligand interacts with the protein of interest. The data will derive from many sources including enzyme assays and many types of biophysical binding assays such as TR-FRET, SPR, thermophoresis and many others. Each method has its strengths and weaknesses, but none is as information rich and broadly applicable as NMR. Here we provide a number of examples of the utility of NMR for enabling and providing ongoing support for the early pre-clinical phase of small molecule drug discovery efforts. The examples have been selected for their usefulness in a commercial setting, with full understanding of the need for speed, cost-effectiveness and ease of implementation

TINS, Target Immobilized NMR Screening: An Efficient and Sensitive Method for Ligand Discovery

SummaryWe propose a ligand screening method, called TINS (target immobilized NMR screening), which reduces the amount of target required for the fragment-based approach to drug discovery. Binding is detected by comparing 1D NMR spectra of compound mixtures in the presence of a target immobilized on a solid support to a control sample. The method has been validated by the detection of a variety of ligands for protein and nucleic acid targets (KD from 60 to 5000 μM). The ligand binding capacity of a protein was undiminished after 2000 different compounds had been applied, indicating the potential to apply the assay for screening typical fragment libraries. TINS can be used in competition mode, allowing rapid characterization of the ligand binding site. TINS may allow screening of targets that are difficult to produce or that are insoluble, such as membrane proteins