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Deuterium

Deuterium is a stable isotope of hydrogen, containing one proton and one neutron in its nucleus.
It is used in a variety of scientific and medical applications, such as tracing metabolic pathways, studying chemical reactions, and enhancing the sensitivity of analytical techniques.
Deuterium-labeled compounds can provide valuable insights into the structure and dynamics of biological systems, while deuterium oxide (heavy water) has unique physical and chemical properties that make it a useful tool in research and clinical settings.
Proper identification and selection of deuterium-based protocols is crucial for reproducible and accurate deuterium studies.
PubCompare.ai's AI-powered platform can assist researchers in navigatiung the literature, pre-prints, and patents to locate the most relevant deuterium-related methods and produtcs, while providing insightful comparisons to help identify the optimal approaches.
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Most cited protocols related to «Deuterium»

Simulations of the proteins in their crystal environments (Table 1), which were used previously during optimization of the C22/CMAP force field 40 (link), were performed using CHARMM on full unit cells with added waters and counterions to fill the vacuum space. Once the full unit cell was constructed based on the coordinates in the protein databank, a box of water with dimensions that encompassed the full unit cell was overlaid onto the crystal coordinates while preserving crystal waters, ions, and ligands. Water molecules with oxygen within 2.8 – 4.0 Å of any of the crystallographic non-hydrogen atoms were removed, as described below, as well as those occupying space beyond the full unit cell. To neutralize the total charge of each system, sodium or chloride ions were added to the system at random locations at least 3.0 Å from any crystallographic non-hydrogen atom or previously added ions and 0.5 Å from any water oxygen. Final selection of the water molecule deletion distance was performed by initially applying a 2.8 Å criteria to all systems followed by system equilibration and an NPT production run of 5 ns following which the lattice parameters were analyzed. The deletion distances were then increased and the equilibration and 5 ns production NPT simulation were repeated until the final lattice parameters were in satisfactory agreement with experimental data. The final water deletion distances and unit cell parameters from the full 40 ns production simulations are presented in Table S2 of the SI. For the minimization and MD simulations, electrostatic interactions were treated with PME using a real space cutoff of 10 Å. The LJ interactions were included with force switching from 8 Å to 10 Å, while the list of nonbonded atoms was kept for interatomic distances of up to 14 Å and updated heuristically. Each crystal system was first minimized with 100 steps of steepest-decent (SD) with non-water, non-ion crystallographic atoms held fixed followed by 200 steps of SD with harmonic positional restraints of 5 kcal/mol/Å2 on solute non-hydrogen atoms. The minimized system was then subject to an equilibration phase consisting of 100 ps of NVT simulation41 in the presence of harmonic positional restraints followed by 5 ns (100 ps for 135L and 3ICB) of fully relaxed NVT simulation with a time step of 2 fs. During the simulations all covalent bonds involving hydrogens were constrained using SHAKE42 . Production phase simulations were conducted for 40 ns in the isothermal and isobaric NPT ensemble43 . The only symmetry enforced was translational (i.e. periodic boundaries). Reference temperatures were set to match the crystallographic conditions (Table S2) and maintained by the Nosé-Hoover thermostat with a thermal piston mass of 1,000 kcal ps2/mol while a pressure mass of 600 amu was used with the Langevin piston. The first 5 ns of the production simulations were considered as equilibration and therefore discarded from analysis, which was performed on coordinate sets saved every 5 ps. The boundaries for α helices and β strands were obtained from a consensus of author annotations and structural assignments calculated by DSSP44 (link) and STRIDE45 (link) from the crystal structures.
Publication 2012
ARID1A protein, human Cells Chlorides Crystallography Deletion Mutation Deuterium Electrostatics Helix (Snails) Hydrogen Hydrogen-4 Ligands Oxygen Pressure Protein Biosynthesis Proteins Sodium STEEP1 protein, human Tritium Vacuum
The programs CRYSOL (Svergun et al., 1995 ▶ ) for X-rays and CRYSON (Svergun et al., 1998 ▶ ) for neutrons evaluate the solution scattering from macromolecules with known atomic structure and fit a predicted curve to experimental scattering data by minimizing the discrepancy (Feigin & Svergun, 1987 ▶ ) where c is a scaling factor, N is the number of points and σ denotes the experimental errors. In the fitting process, the excess scattering density of the hydration shell, the average atomic group radius and the related total excluded volume can be adjusted. With the recent progress in high-resolution structure determination and advances in structure prediction and docking algorithms, tremendous numbers of structural models are becoming available. The screening of multiple models against experimental scattering data (typically SAXS) is often performed to select the best configuration in solution. The performance of these programs is crucial when applied to large numbers of structures and to deal with the increased number of angular data points in scattering profiles resulting from the improved resolution of detectors employed at the modern SAXS beamlines (e.g. PILATUS from DECTRIS; http://pilatus.web.psi.ch/pilatus.htm). In order to speed up CRYSOL calculations, experimental scattering intensities and associated errors are automatically remapped into a sparser grid for the search of the best fitting parameters. Depending on the number of experimental points, the regridding operation speeds up the fitting procedure by up to a factor of five. The final fits are recalculated for the optimum parameters for the original experimental data points.
Practice shows that in some cases (e.g. as a result of buffer mismatch) the higher-angle positions of the scattering data may contain systematic deviations, which can be accounted for by subtraction/addition of a constant term to the experimental data. An option of background constant adjustment has been added to CRYSOL to allow for the correction of such over- or under-subtracted buffer signal. A linear least-squares minimization with boundaries (Lawson & Hanson, 1995 ▶ ) is used to find the scaling coefficient and the background constant value when fitting a theoretical curve to experimental data.
Typically, CRYSOL and CRYSON skip all H atoms present in the PDB files and instead make an assignment of the number of bound H atoms for each atomic group based on the chemical compound library (ftp://ftp.wwpdb.org/pub/pdb/data/monomers/components.cif) in order to compute the scattering. If a full-atom model containing all H (or deuterium) atoms is available, the user has the option to take all the atoms ‘as is’, which can be specified in both interactive and batch modes [in the latter case the input parameters are specified on the command line (Konarev et al., 2006 ▶ )]. Since the remediation of the PDB archive in 2007–2008 (http://www.rcsb.org/pdb/static.do?p=general_information/news_publications/index.html) the nomenclature of many heteroatoms had been changed, and the assignments of bound hydrogen to an atom became ambiguous, such that the hydrogen assignment may be incorrect in some cases. To resolve this problem, both the new (after version 3.1) and the old (before version 3.0) PDB formats are now supported. By default, the new format is assumed, but the user can also enforce the old format by using the ‘/old’ key in the command line input.
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Publication 2012
Buffers Deuterium factor A Hydrogen Radius Roentgen Rays
Structures are pre-processed differently depending upon their input format (see the flowchart in Figure 1). Two input formats are supported by the H++ website, PDB and PQR. These files differ in that PQR files already have charges and radii assigned to each atom whereas PDB files do not.
If the input file is in PQR format, H++ makes minimal changes because it is assumed that the format is already suitable for electrostatic calculations. Changes made are as follows: atom names of all titratable amino acids are brought into accordance with the format adopted by the AMBER (29 ) package and consistency checks are performed. These checks ensure that the total charge of the system is an integer (within a ±0.05 unit charge tolerance per amino acid) and the atomic radii are between 0.5 and 3 Å. If any of the above checks fail, the sequence of residues is discontinuous or the atom names are different from the PDB standard and cannot be recognized, execution terminates.
For a structure submitted in the conventional PDB format, H++ deletes all HETATM records; that is, only those atoms that belong to amino acids or nucleotides are kept. This is the ‘clean-up’ step in Figure 1. Removal of explicit water molecules and mobile counterions is generally consistent with the implicit solvent framework in which solvation effects are accounted for in the mean-field manner. If necessary, removed ligands can be included in the calculations by submitting the complete structure in the PQR format, avoiding the ‘clean-up’ step. Sequence continuity is verified and all atom names are brought into accordance with the format adopted by the AMBER package. Deuterium atoms are replaced with equivalent hydrogens.
Publication 2005
Amber Amino Acids Deuterium Electrostatics Exhaling Hydrogen Immune Tolerance Ligands Nucleotides Radius Solvents
Light reflectance and absorbance by the plumage can be influenced by the specific orientation of the feathers in the plumage and also by the interaction of light scattered by multiple feathers. The optical properties of the intact plumage cannot be reconstructed reliably by plucking feathers and then laying them (singly or together) on a different surface. Therefore, reflectance spectra of super black and normal black plumage patches were recorded directly from the plumage of prepared museum skins.
Total integrated (diffuse and specular) reflectance spectra were measured with an Ocean Optics USB2000 spectrophotometer and ISP-REF integrating sphere using a Spectralon white standard (Ocean Optics, Dunedin, FL). The light source provided diffuse light from all directions and the gloss trap was closed to collect both specular and diffuse reflectance. To ensure repeatable measures of reflectance from these profoundly black samples, we averaged 10 scans for each output file, and used an integration time of 40 μs. For each patch, we measured three spectra from three different positions within the patch and averaged them to produce a single spectrum for the patch. Two specimens per species were measured for all species except for Astrapia stephaniae and Parotia wahnesi, for which only one specimen was measured due to availability of material.
Directional reflectance spectra were measured with an Ocean Optics USB2000 spectrophotometer and Ocean Optics DH-2000Bal deuterium–halogen light source (Ocean Optics, Dunedin, FL, USA). The geometry of the directional reflectance measurements placed the detector at 0° normal to the plumage, which would be the specular direction for typically flat materials. A bifurcated illumination/detection optical fiber was held in an anodized aluminum block ~6 mm above and perpendicular to the plumage. A ~3-mm-diameter circle of light illuminated the plumage. Reflectance between 300 and 700 nm was recorded to obtain the species spectra for the patch. Measures of super black plumage reflectance were quite low and noisy, and signal processing was required. Negative values were converted to 0, and five spectra from each individual were averaged to produce an average spectrum for the patch. Loess smoothing was applied to produce a reflectance spectrum curve (Supplementary Fig. 2).
The light source in our integrating sphere lacked near-ultraviolet light (300–400 nm), but the directional reflectance measures confirmed that none of these patches produced UV reflectance features. Reflectance, %R, was calculated as the area under the measured reflectance spectrum between 400 and 700 nm using Riemann sums and was normalized by the number of wavelength bins measured and 100% reflectance of the white standard.
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Publication 2018
Aluminum ARID1A protein, human Deuterium Eye Feathers Halogens Light Radionuclide Imaging Skin Vision
Analyses were performed using a Vanquish UHPLC system (Thermo Fisher Scientific, San Jose, CA, USA) coupled online to a Q Exactive mass spectrometer (Thermo Fisher Scientific, San Jose, CA, USA). Samples were resolved over a Kinetex C18 column, 2.1 × 150 mm, 1.7 μm particle size (Phenomenex, Torrance, CA, USA) equipped with a guard column (SecurityGuard Ultracartridge – UHPLC C18 for 2.1 mm ID Columns – AJO-8782 – Phenomenex, Torrance, CA, USA) at 25°C using an isocratic condition of 5% acetonitrile, 95% water, and 0.1% formic acid flowed at 250 μl/min. The Q Exactive mass spectrometer (Thermo Fisher Scientific, San Jose, CA, USA) was operated independently in positive or negative ion mode, scanning in Full MS mode (2 μscans) from 60 to 900 m/z at 70,000 resolution, with 4 kV spray voltage, 15 shealth gas, 5 auxiliary gas. Calibration was performed prior to analysis using the PierceTM Positive and Negative Ion Calibration Solutions (Thermo Fisher Scientific). Acquired data was then converted from .raw to .mzXML file format using Mass Matrix (Cleveland, OH, USA). Metabolite assignments, isotopologue distributions, and correction for expected natural abundances of deuterium, 13C, and 15N isotopes were performed using MAVEN (Princeton, NJ, USA).[16 (link)]Graphs, heat maps and statistical analyses (either T-Test or ANOVA) were prepared with GraphPad Prism 5.0 (GraphPad Software, Inc, La Jolla, CA) and GENE-E (Broad Institute, MA).
Publication 2017
acetonitrile Deuterium formic acid Genes Microtubule-Associated Proteins neuro-oncological ventral antigen 2, human Nitrogen-15 prisma

Most recents protocols related to «Deuterium»

Example 10

Sprague Dawley rats are fasted for 40 hours, after which the diet is replaced with free fatty acid deficient chow to increase SCD-1 activity. Rats are then euthanized using CO2 asphyxiation and their livers removed. Livers are weighed and minced. Microsomes are isolated by homogenization with a polytron and several centrifugation steps. Following final centrifugation, the resulting pellet is resuspended in buffer and protein concentration is determined. Aliquots are stored at −80° C.

Rat liver microsomes are incubated with deuterium labeled stearoyl coenyzme A in the presence of putative inhibitor to test the compound's ability to inhibit the conversion of stearoyl-coenzyme A to oleoyl coenzyme A. The reaction is terminated using acetonitrile. Free fatty acids are extracted and the sample is then acidified with formic acid before final extraction with chloroform. The organic layer is transferred and evaporated under nitrogen gas. Samples are then reconstituted and analyzed by LC/MS/MS. The ability to inhibit the conversion of stearoyl-CoA to oleoyl-CoA is expressed as an IC50.

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Patent 2024
acetonitrile Asphyxia Buffers Cardiac Arrest Centrifugation Chloroform Deuterium Diet formic acid Liver Microsomes Microsomes, Liver Nitrogen Nonesterified Fatty Acids oleoyl-coenzyme A Proteins Rats, Sprague-Dawley stearoyl-coenzyme A Tandem Mass Spectrometry
Before 2 h of HDX analysis, the compound tutin (200 μM) was added into the sample, with the control sample adding an equal volume of tutin buffer. For deuterium labeling, CN (4 μM) in the buffer (20 mM Tris-HCl, 1 mM CaCl2, 0.5 mM TCEP, and 150 mM NaCl, in H2O, pH 7.5) in the presence or absence of 200 μM tutin was diluted 10-fold by the labeling buffer containing 20 mM Tris-HCl, 1 mM CaCl2, 0.5 mM TCEP, and 150 mM NaCl, in 100% D2O at pD 7.4. After incubation for 30, 90 or 300 seconds at 25 °C, the same volume of ice-cold quench buffer containing 4 M guanidine hydrochloride, 500 mM TECP and 200 mM citric acid in water solution at pH 1.8, 100% H2O, was added to quench deuterium uptake. The sample was digested with pepsin (Promega) on ice for 5 min, and removed by centrifugation. An ACQUITY UPLC BEH C18 column (2.1 μm, 1.0 mm × 50 mm, Waters) equipped with an Ultimate 3000 UPLC system (Thermo Scientific) were used for the obtained peptides separation. A Q Exactive mass spectrometer was used for mass spectrometry analysis of the peptides. Mass spectrometry data were compared with Proteome Discoverer (Thermo Scientific) to match the corresponding peptide in CN. XCALIBUR (Thermo Scientific) was used to inspected peptide peaks. In order to estimate the max deuterium uptake of peptides, a repeated experiment was performed extending incubation in D2O for 24 h. HDExaminer (Sierra Analytics) was used for calculating deuterium uptake levels. Deut % for different peptides were calculated as follows. Deuti%=#Di/(#(CONH)i#Proi1)MaxDi×100% # Di: deuterium numbers for peptide i at a certain hydrogen/deuterium exchange time; #(CONH)i : amide bond numbers of each peptide; # Proi: the proline number for peptidei; Mxx Di: maximum deuterium uptake for peptide i.
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Publication 2023
Amides Buffers Centrifugation Citric Acid Cold Temperature Deuterium Hydrochloride, Guanidine Hydrogen Mass Spectrometry Neoplasm Metastasis Pepsin A peptide I Peptides Proline Promega Proteome Sodium Chloride tris(2-carboxyethyl)phosphine Tromethamine tutin
Continuous uptake measurement data were
analyzed using a new “continuous measurement” HX module
for Mass Spec Studio 2.0.28 (link),31 (link) This module was built
as an extension to the classic peptide HX-MS module (HX-DEAL) to reuse
the existing model-based deuterium uptake calculations and apply them
on data acquired using the continuous pullback method. A custom processing
routine was created (“Continuous HX-MS”), which aggregates
MS1 data over the predefined ion-mobility (IM) range of each peptide
and measures deuterium uptake at continuous intervals in time. During
data processing, the measured retention times in the data file are
transformed to the true HX reaction times by applying the experimental
and hardware specifications in the parameters section of the new processing
routine (e.g., time increment, flowrate, notch position,
start/stop infusion time, etc.). The continuous % D values for each peptide as well as their transformed reaction
times are exportable in.csv format via the “raw”
output option inside the Export Wizard.
Publication 2023
Deuterium Mass Spectrometry Peptides Range of Motion, Articular Retention (Psychology)
In order to measure the VUV transmission, the crystals were cut and polished. Cutting was done using a Wiretec DWS100 with a 0.08 mm diamond coated wire. Facets cut with the wire saw were flat enough to be polished in a 1-step process. Polishing was done with a Buehler polishing machine and a Buehler SiC P4000 Silicon Carbide polishing paper. As CaF2 is hygroscopic and adsorbed water decreases transmisson, the polishing paper was wetted with isopropanol instead of water37 . All operations were performed with personal protective equipment in a radionuclide type C lab in well ventilated boxes.
Transmission measurements were performed using a dedicated setup. The light of a Hamamatsu L15094 D2 lamp is focused with a toroidal mirror onto the entrance slit of a McPherson 234/302 monochromator. The light is separated into its spectral components by the grating and is focused onto the exit slit. By rotating the grating the exit wavelength can be selected. The exit slit cuts out a small portion of the spectrum effectively creating a narrow wavelength light source with a linewidth down to 0.1 nm. The linewidth can be changed by changing the entrance/exit slit width (0.01–2.50 mm). This light travels through the crystal, and is recorded by a Hamamatsu R6835 head-on CsI photomultiplier tube (PMT) which is mounted close to the crystal.
Although conceptually simple, measuring a wavelength-dependent absolute absorption is burdened with several experimental challenges. These are connected with geometrical changes in the beam paths due to the presence of the sample (beam shifts and astigmatism), strong spectral intensity modulations and overall intensity instabilities in the VUV source (deuterium lamp). These lead to an overall systematic error on the following transmission measurements of ± 5%.
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Publication 2023
Astigmatism Deuterium Diamond Head Isopropyl Alcohol Light Radioisotopes Transmission, Communicable Disease
Two sets of U-13C,15N,2H-CACTD-SP1/IP6 samples were prepared, one in Buffer A (20 mM Tris, pD 8.0, 0.5 M NaCl; made from 1 M Tris stock at 99.9% purity in D2O (Cambridge) and pD adjusted with deuterium chloride (Sigma) prepared in D2O at 99.9% purity (Cambridge)) and the second in Buffer B (20 mM Tris, pH 8.0, 0.5 M NaCl). The protein samples in Buffer A were prepared by buffer exchange as follows: 0.5 mL protein at 10 mg/mL was diluted into 10 mL with Buffer A then re-concentrated via centrifugation, 4 times. After exchange, the samples were recovered in a final volume 0.5 mL, with concentrations between 9–10 mg/mL.
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Publication 2023
Buffers Carnitine-Acylcarnitine Translocase Deficiency Centrifugation Chlorides Deuterium Proteins Sodium Chloride Staphylococcal Protein A Tromethamine

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Deuterium chloride is a chemical compound consisting of deuterium and chlorine. It is a colorless, corrosive gas that is used as a laboratory reagent.
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Acetonitrile is a colorless, volatile, flammable liquid. It is a commonly used solvent in various analytical and chemical applications, including liquid chromatography, gas chromatography, and other laboratory procedures. Acetonitrile is known for its high polarity and ability to dissolve a wide range of organic compounds.

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