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Hydrogen-5

Hydrogen-5 is a rare isotope of the hydrogen atom, consisting of a nucleus with 5 protons and 0 neutrons.
This highly unstable isotope has a very short half-life and is of interest in nuclear physics research.
Hydrogen-5 may be studied using specialized techniques like accelerator mass spectrometry to understand nuclear structure and decay processes.
Reseachers can use PubCompare.ai's AI-driven platform to locate protocols and best practices for working with this isotope, streamlining their Hydrogen-5 reasearch and making more informed decisions.

Most cited protocols related to «Hydrogen-5»

Initial helical conformations were defined as all amino acids having (φ, ψ)=(−60°, −40°). Initial extended conformations were defined as all (φ, ψ)=(180°, 180°). Native conformations, as appropriate, were defined for each system as below. Explicit solvation was achieved with truncated octahedra of TIP3P water16 with a minimum 8.0 Å buffer between solute atoms and box boundary. All structures were built via the LEaP module of Ambertools. Except where otherwise indicated, equilibration was performed with a weak-coupling (Berendsen) thermostat33 and barostat targeted to 1 bar with isotropic position scaling as follows. With 100 kcal mol−1 Å−2 positional restraints on protein heavy atoms, structures were minimized for up to 10000 cycles and then heated at constant volume from 100 K to 300 K over 100 ps, followed by another 100 ps at 300 K. The pressure was equilibrated for 100 ps and then 250 ps with time constants of 100 fs and then 500 fs on coupling of pressure and temperature to 1 bar and 300 K, and 100 kcal mol−1 Å−2 and then 10 kcal mol−1 Å−2 Cartesian positional restraints on protein heavy atoms. The system was again minimized, with 10 kcal mol−1 Å−2 force constant Cartesian restraints on only the protein main chain N, Cα, and C for up to 10000 cycles. Three 100 ps simulations with temperature and pressure time constants of 500 fs were performed, with backbone restraints of 10 kcal mol−1 Å−2, 1 kcal mol−1 Å−2, and then 0.1 kcal mol−1 Å−2. Finally, the system was simulated unrestrained with pressure and temperature time constants of 1 ps for 500 ps with a 2 fs time step, removing center-of-mass translation and rotation every picosecond.
SHAKE34 was performed on all bonds including hydrogen with the AMBER default tolerance of 10−5 Å for NVT and 10−6 Å for NVE. Non-bonded interactions were calculated directly up to 8 Å. Beyond 8 Å, electrostatic interactions were treated with cubic spline switching and the particle-mesh Ewald approximation35 in explicit solvent, with direct sum tolerances of 10−5 for NVT or 10−6 for NVE. A continuum model correction for energy and pressure was applied to long-range van der Waals interactions. The production timesteps were 2 fs for NVT and 1 fs for NVE.
Publication 2015
Amber Amino Acids Buffers Cuboid Bone Debility Electrostatics Helix (Snails) Hydrogen-5 Immune Tolerance nucleoprotein, Measles virus Pressure Proteins Solvents Vertebral Column
Four canonical 44 (link)–47 (link) and nine non-canonical RNA structures
48 (link)–56 (link) obtained from the protein databank and one
computationally-modeled canonical RNA structure 57 (link) were considered for the force field assessment (Table 1). MD simulations and analysis were done
using the CHARMM58 (link) or NAMD59 (link) programs using the published CHARMM27 all-atom
additive nucleic acid force field parameters25 ,26 with subsequent
revisions associated with changes the 2′-hydroxyl parameters as part of
the present work (Table SI1 of
the supporting information
). After the addition of missing hydrogen
atoms to the crystallographic coordinates using the Hbuild 60 (link) facility in CHARMM, the RNAs were immersed in a
pre-equilibrated truncated octahedron shaped water box (1MSY, 1UUU, and 1Y26) or
a cubic shaped water box (all additional RNA molecules). The length of each box
was extended approximately 9 Å beyond all dimensions defined by the RNA
non-hydrogen atoms. Overlapping water molecules with their oxygen atoms within
1.9 Å of the non-hydrogen RNA atoms were deleted. Sodium ions or
potassium ions (Tables SI2 and
SI3 of the supporting information
) were randomly placed in the water
box to make the system electrically neutral except in the riboswitch (1Y26),
where Mg2+ ions were used in addition to the
Mg2+ ions identified in the crystal structure. The
resultant configurations for each of the RNAs in solution were used as the
initial structures for further minimizations and MD simulations.
For the minimizations and MD simulations, the CRYSTAL utility in CHARMM
was used to implement periodic boundary conditions, and the particle mesh Ewald
summation method 61 (link),62 was used for the calculation of electrostatic
interactions. Lennard-Jones (LJ) interactions were truncated at 12 Å,
with a force switch smoothing function from 8 to 12 Å. The non-bonded
interaction lists were updated heuristically, and similar to LJ interactions,
the real space electrostatic interactions were also truncated at 12 Å.
Other than the SHAKE algorithm 63 that
was employed to constrain all the covalent bonds involving hydrogen atoms, the
production simulations did not involve any other constraints or restraints.
Initially, the systems underwent a 500-step adopted basis Newton-Raphson
minimization followed by a 200 ps MD simulation in the NPT ensemble with mass
weighted restraints with force constant 5 kcal/mol/Å2 on all
RNA non-hydrogen atoms. This enabled the equilibration of the solvent molecules
and ions around the RNAs, filling any voids created by deleting the water
molecules. The resultant structures were used as the initial structures for the
production MD simulations.
Overall, 50 ns of production simulation, unless noted, was performed on
each system in the NPT ensemble employing the Leapfrog integrator for CHARMM
simulations and MTS algorithm integrator for NAMD simulations. All the
simulations used an integration time step of 2 fs and coordinates were saved
every 2 ps for analysis. The Langevin piston algorithm64 was used for maintaining the pressure at 1 atm and
Hoover chains were employed to maintain the temperature at 298 K. On 1Y26, the
presented results from CHARMM27 are from a previously reported simulation of 40
ns where the frequency of saving the coordinates was 5 ps 23 (link). The double-stranded 18-mer RNA (SEQ4 from
Faustino et. al.57 (link)) was simulated in the NVE ensemble
using CHARMM with the CHARMM27 and CHARMM27d parameter sets using spherical
force-shift cutoff scheme with a 12 Å cutoff 65 –67 ,
and with PME in a rhombic dodecahedron (58.8 Å distance across)
containing 34 Na+ and 4481 TIP3P water molecules. Nonbonded
interactions were evaluated using fast lookup tables. 68 (link) For parameter set CHARMM27d, four independent
simulations were performed, two with (50 ns) and two without (100 ns) PME (Table SI3 of the supporting
information
).
Publication 2011
Crystallography Cuboid Bone Electricity Electrostatics Familial Mediterranean Fever Hydrogen Hydrogen-5 Hydroxyl Radical Ions Nucleic Acids Oxygen Potassium Pressure Riboswitch RNA RNA, Double-Stranded Sodium Solvents Tremor Urination
In addition to the above data, SKEMPI 2.0 also provides data on the location of the mutated residues, the homology between interactions in the dataset, and processed PDB files, which can be easily parsed.
Residue location: Each mutated residue is classified according to the scheme proposed by Levy (2010) (link); residues at the interface are classified as support (mostly buried when unbound and entirely buried upon binding), core (mostly solvent exposed when unbound but buried upon binding) and rim (partly buried upon binding), while residues away from the binding site are classified as interior or surface. Solvent exposed surface area was calculated using CCP4 (Winn et al., 2011 (link)).
Processed PDB files: The PDB files for the interactions, as downloaded from the Protein Data Bank (Berman et al., 2000 (link)), often contain multiple copies of the interacting proteins in the unit cell or other chains irrelevant to the interaction. In one instance, the binding of dimeric myostatin to follistatin-like 3, the myostatin dimer must be created by tessellating the unit cell. Further, some PDB files contain features that are not readily parsed by some software, such as residue insertion codes or negative residue numbers. To help users we provide “cleaned” PDB files which contain only the chains of interest, renumbered from one, as well as waters and other molecules with a non-hydrogen atom within 5 Å of a non-hydrogen atom of any of the chains of interest. Consequently, each mutation is reported with both PDB numbering and renumbered.
Defining homologous interactions: Each entry also specifies which other entries are mutations to homologous interactions. Two interactions are deemed homologous if they have a shared binding partner or homologous binding partner and at least 70% of the corresponding interface residues are common to both interactions. We determine the homology between proteins using the GAP4 program (Huang and Brutlag, 2007 (link)), and define homologous proteins as those with a similarity score greater than 50 and at least 30% sequence identity. Interface residues are defined as those with a non-hydrogen atom within 10 Å of a non-hydrogen atom on the binding partner. Interactions falling within manually assigned clusters of homologous interactions are designated as pMHC/TCR, antibody/antigen or protease/inhibitor. While the names of these clusters have been chosen to reflect the predominant function of their constituent interactions, they reflect the homologies within the dataset and are not functional assignments. Thus, for instance, some nanobodies are classified as antibodies as they bind to the same site as cetuximab, 14.3.d is classified as TCR, even though it is only the β chain, and its binding partner, enterotoxin C3, is classified as a pMHC.
Publication 2018
Antibodies Antigens Binding Sites Cells Cetuximab Enterotoxins Follistatin GDF8 protein, human Hydrogen Hydrogen-5 Immunoglobulins Mutation Protease Inhibitors Proteins Solvents Staphylococcal Protein A VHH Immunoglobulin Fragments
We conducted molecular dynamics simulations of what we will refer to as mini-proteins (Fig. 6), that is peptides that have been shown to form stable secondary structures in solution: the 23-residue trp-cage peptide of sequence ALQELLGQWLKDGGPSSGRPPPS (PDB id 1RIJ),101 (link) the 28-residue cdp-1 peptide of sequence KPYTARIKGRTFSNEKELRDFLETFTGR (PDB id 1PSV),102 (link) and the 28-residue fsd-1 peptide of sequence QQYTAKIKGRTFRNEKELRDFIEKFKGR (PDB id 1FSD).103 (link) The structure of trp-cage (see Fig. 6) is characterized by a tryptophan sidechain enclosed in a cage formed by a α-helix on one side and a proline-rich loop on the other. The cdp-1 and fsd-1 mini-proteins (Fig. 6) adopt a mixed αβ conformation and are particularly rich in charged residues. The trp-cage mini-protein was chosen because it has been the target of several computational studies.104 (link)–107 (link) The cdp-1 and fsd-1 peptides were of interest because they showed in preliminary tests with AGBNP1 solvation significant tendency to deviate from the experimental structures.
Molecular dynamics simulations were conducted for 12ns starting with the first NMR model deposited in the PDB. The temperature was set to 300 K with the Nosé-Hover thermostat,108 ,109 (link) a MD time-step of 2 fs was employed and covalent bond lengths involving hydrogen atoms were fixed at their equilibrium positions. Backbone motion was restricted by imposing an positional harmonic restraint potential with a force constant of 0.3 kcal/mol/Å2 on the positions of the Cα atoms, which allows for a range of motion of about 5 Å at the simulation temperature. These restraints are sufficiently weak to allow substantial backbone and sidechain motion while preserving overall topology.
Molecular dynamics simulations were conducted with the OPLS-AA potential97 ,110 with explicit solvation (SPC water model with 2, 450, 3, 110, and 3, 250 water molecules for trp-cage, cdp-1, and fsd-1 respectively) and with both AGBNP1 and AGBNP2 implicit solvation. The DESMOND program111 was used for the explicit solvent simulations and the IMPACT program15 (link) for those with implicit solvation. Identical force field settings were employed in these two programs. The explicit solvent simulations were conducted in the NPT ensemble using the Martyna-Tobias-Klein barostat112 at 1 atm pressure and employed the smooth Particle Mesh Ewald (PME) method113 for the treatment of long range electrostatic interactions with a real space cutoff of 9 Å. Equilibrium averages and energy distributions were obtained by analysis of the latter 10ns of saved trajectories. Convergence was tested by comparing averages obtained using the first and second halves of simulation data. Hydrogen bonds were detected using a minimum hydrogen-acceptor distance of 2.5 Å and a minimum donor angle of 120 degrees.
Publication 2009
A-Loop Debility Deuterium Electrostatics Helix (Snails) Hydrogen Hydrogen-5 Hydrogen Bonds Peptides Pressure Proline Proteins Solvents Tissue Donors Trp-cage peptide Tryptophan Vertebral Column
The structural data of compounds were obtained from KEGG (Kanehisa et al., 2016 (link)), KNApSAcK (Afendi et al., 2012 (link)), a flavonoid database (here referred to as FlavonoidViewer, http://metabolomics.jp/wiki/Category: FL), LIPID MAPS (Fahy et al., 2009 (link)), HMDB (Wishart et al., 2013 (link)), UNPD (Gu et al., 2013 (link)) and PubChem (Wang et al., 2009 (link)). The Chemistry Development Kit 2.0 (Willighagen et al., 2017 (link)) and Java 7 (Oracle corporation) were used for molecular calculations and generation of the hash of the IUPAC International Chemical Identifier (InChIKey) (Heller et al., 2013 (link)). When multiple components are included in a record (hereafter referred to as fragmented records), the one with the largest molecular weight was used as a representative. Positively or negatively charged molecules were tentatively neutralized by removing or adding an equivalent number of hydrogens from or to the formula, respectively (see Supplementary Results and Discussion 1.1.5 for applicability of hydrogen for the adjustment of the charge). While this does not always make chemical sense, it does enable a computationally efficient approach for structural look-up in mass spectral applications. The first block (14 letters) of the standard InChIKey (hereafter referred to as InChIKey skeleton), which shows a unique signature of the same connectivity of atoms, along with tentatively neutralized formula, tentatively neutralized formula weight, original ID and name of the compounds was stored in a database named UC2 using MariaDB. Updates of the data are scheduled per month for PubChem, per week for KEGG and when the databases are updated for the other databases. The web service for searching UC2 was constructed in MFSearcher (Sakurai et al., 2013 (link)). The graphical user interface (GUI) tool to search the UC2 database was developed using Java.
For the evaluation of UC2, a list of tomato metabolites was obtained from Iijima et al. (2008) (link). Metabolite peaks from human urine were prepared from the raw data (van der Hooft et al., 2016 (link)) using an in-house version of PowerGet (Sakurai et al., 2014 ). For comparison of search results, both a search using UC2 (UC2 search) and a conventional search were performed using the MFSearcher web service and KEGG, KNApSAcK, FlavonoidViewer, LIPID MAPS and HMDB as target databases. For peaks of default adduct ions ([M + H]+ and [M − H] for the positive and negative modes, respectively), the sum of compound records searched with both default adduct ion and detected m/z value was used as the candidate number in the conventional search. Details of the methods are provided in the Supplementary Methods.
Publication 2017
Flavonoids Homo sapiens Hydrogen Hydrogen-5 Lipids Lycopersicon esculentum Marijuana Abuse Microtubule-Associated Proteins Skeleton Urine

Most recents protocols related to «Hydrogen-5»

Murine vaginal tissue was homogenized in buffer solution at pH 7.5 (sodium chloride 137 mM, potassium chloride 2.7 mM, sodium hydrogen phosphate 8.1 mM, potassium hydrogen phosphate 1.5 mM, ethylenediaminetetraacetic acid 2.5 mM, dithiothreitol 1 mM, phenylmethylsulfonyl fluoride 0.1 mM, and leupeptin 10 µg/mL). After centrifuging the homogenate at 1,000 g for 10 minutes, the supernatant was centrifuged again at 100,000 g for 1 hours to separate the protein. The amount of protein in each fraction was quantified by the Bradford method. Then, 30 µg of the sample was separated from a 12% sodium dodecyl sulfate-polyacrylamide gel electrophoresis gel and transferred to a polyvinylidene fluoride membrane, which was incubated with a blocking buffer (1× tris-buffered saline [TBS], 0.1% Tween-20 containing skim milk powder 5% w/v) at room temperature for 2 hours and then reacted with a primary antibody at 4℃ for 12 hours. Then, it was washed three times with TBS containing 0.1% Tween-20 and incubated for 1 h with an anti-rabbit secondary antibody (1:5,000) labeled with horseradish peroxidase. Bands were visualized using enhanced chemiluminescence (Amersham Pharmacia Biotech).
Publication 2023
Antibodies, Anti-Idiotypic Buffers Chemiluminescence Dithiothreitol Edetic Acid Horseradish Peroxidase Hydrogen Hydrogen-5 Immunoglobulins leupeptin Milk, Cow's Mus Phenylmethylsulfonyl Fluoride Phosphates polyvinylidene fluoride Potassium Potassium Chloride potassium phosphate Powder Proteins Rabbits Saline Solution SDS-PAGE Sodium Sodium Chloride sodium phosphate Tissue, Membrane Tissues Tween 20 Vagina
The Pharmit web server was configured to include best hits from the following databases: PubChem, MCULE, ZINC database, MolPort, CHEMBL30, ChemDiv, ChemSpace, MCULE-ULTIMATE, NCI Open Chemical Repository, and LabNetwork.13 Specifically, the following features were used as thresholds to filter databases in accordance with Lipinski rule of 5, Veber, Ghose, Egan, and Muegge rules.14 -17 (link, link, link) These include molecular weight ⩽ 500 g, number of rotable bonds ⩽ 10, logP (octanol-water partition coefficient) value ⩽ 5, topological polar surface area (TPSA) ⩽ 140 Å, hydrogen bonds acceptor ⩽ 10, hydrogen bonds donor ⩽ 5, and number of aromatics ⩽ 2.17 (link)A library of 691 unique ligands was created following pharmacophore-based screening against major databases. The 2-dimensional SDF files of these ligands were obtained on Pharmit and converted into 3D formats using the OpenBabel module of the python-based open-source tool, PyRx.18 For docking purposes, the tool was used to establish a magnetic force field around each of the 691 compounds and the reference, 7,8-DHF, and to minimise the total energy while preserving the intact molecular structure for ligand-receptor interaction. Subsequently, all ligands were converted into their corresponding pdbqt formats.
Publication 2023
cDNA Library fluoromethyl 2,2-difluoro-1-(trifluoromethyl)vinyl ether Hydrogen-5 Hydrogen Bonds Ligands Magnetic Fields Molecular Structure Octanols Python Tissue Donors Zinc

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Publication 2023
Amber Antiepileptic Agents Chalcones compound 18 Enzymes Fluorine GABA-A Receptor GABA Receptor Homo sapiens Hydrogen Hydrogen-5 Hydrogen-6 Ligands Pharmaceutical Preparations Proteins
The excised tumors were fixed overnight in 10% neutral buffered formalin in PBS, followed by paraffin embedding and microtome sectioning. Five μm tumor sections were subjected to immunohistochemistry after dewaxing, rehydration, and hematoxylin and eosin (H&E) staining. Briefly, antigen retrieval was performed by heat-inactivation, peroxidase activity inhibition by 1.5% hydrogen peroxide, and blocking with mouse serum 2% in PBS. Cell proliferation was calculated by IHC, using a mouse anti-human mAb against Ki67 (Cell Signaling Technology, Inc., Danvers, MA, USA) (1:1000 dilution), followed by incubation with an HRP-conjugated anti-mouse secondary Ab (Sigma-Aldrich). Ki67-positive and Ki67-negative cells were counted using ImageJ software (US National Institutes of Health) by staining three different slides per tumor, one from the first one-third of each tumor, one from the middle section, and one slide derived from the lower one-third of each tumor.
Publication 2023
Antigens Cell Proliferation Cells Eosin Formalin Hematoxylin Homo sapiens Hydrogen-5 Immunohistochemistry Microtomy Mus Neoplasms Peroxidase Peroxides Psychological Inhibition Rehydration Serum Technique, Dilution
Predictive models to determine absorption, distribution, metabolism, excretion, and toxicity (ADMET) constitute valid alternatives to experimental assays, because of their robustness, speed, ease of interpretation, and ability to efficiently translate to risk assessment through molecular design.
The ADMET profiles of the three molecules amitraz, 2,4-DMF, and 2,4-DMA were predicted using SwissADME tools (http://www.swissadme.ch/, accessed on 2 November 2022) and admetSAR (http://lmmd.ecust.edu.cn/admetsar2/, accessed on 2 November 2022). To evaluate the absorption rate, necessary for oral administration, the following parameters were analyzed: the number of free rotatable bonds (n-ROTB) and Lipinski’s “rule of five” for the lead compounds. Lipinski’s descriptors evaluate the molecular properties for drug pharmacokinetics in the human body, especially for oral absorption. The rule states that the most “druglike” molecules present clogP ≤ 5, molecular weight (MW) ≤ 500, number of hydrogen bond acceptors (HBA) ≤ 10, and hydrogen bond donors (HBD) ≤ 5.33.
The main parameters for absorption, distribution, metabolism, and toxicity profile prediction of amitraz and its metabolites were taken into account according to the in silico ADME tool selected.
Publication 2023
ADMET Administration, Oral amitraz Biological Assay Donors Drug Kinetics Health Risk Assessment Human Body Hydrogen-5 Hydrogen Bonds Metabolism

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More about "Hydrogen-5"

Hydrogen-5, also known as deuterium-5 or D-5, is a rare and highly unstable isotope of the hydrogen atom.
This isotope consists of a nucleus with 5 protons and 0 neutrons, making it a unique and fascinating subject of study in the field of nuclear physics research.
Researchers often utilize specialized techniques like accelerator mass spectrometry to investigate the nuclear structure and decay processes of Hydrogen-5.
This information can be crucial for understanding the fundamental nature of matter and the universe.
In addition to nuclear physics, Hydrogen-5 research may have applications in other scientific disciplines, such as Vitamin K1 synthesis, which is an important cofactor in blood coagulation.
The use of an anaerobic chamber and tools like AutoDock Tools 1.5.6 and AutoDock Vina 1.1.2 can be beneficial for studying the interactions and properties of Hydrogen-5 and related compounds.
Researchers can leverage the power of AI-driven platforms like PubCompare.ai to streamline their Hydrogen-5 research.
These tools can help locate relevant protocols and best practices from the literature, preprints, and patents, allowing scientists to make more informed decisions and optimize their experimental workflows.
By incorporating Bacto™ BHI, Ventana Discovery XT, BBL vitamin K1-hemin solution, and Bacto Brain Heart Infusion, researchers can further enhance their investigations into the unique properties and behavior of this rare isotope.
Through the use of these advanced techniques and resources, scientists can continue to push the boundaries of our understanding of Hydrogen-5 and its potential applications in various fields of study.