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Isoleucine

Isoleucine is an essential amino acid that plays a crucial role in protein synthesis, energy production, and muscle growth.
It is involved in various metabolic processes and is known to have anti-inflammatory properties.
Researchers can optimize their Isoleucine studies using PubCompare.ai's AI-driven protocols, which enable easy identification of the best research approaches from literature, pre-prints, and patents.
Leveraging the power of AI, scientists can streamline their Isoleucine research and discover the most effecitve approches to advance their understanding of this important biomolecule.

Most cited protocols related to «Isoleucine»

The BG505 (BG505.W6M.ENV.C2) env gene (GenBank accession nos. ABA61516 and DQ208458) is derived from a subtype A T/F virus isolated from a 6-week old, HIV-1-infected infant [28] (link). It has 73% identity to the proposed PG9-sensitive progenitor virus from the PG9 bNAb donor, based on computational analysis of the most recent common ancestor sequence [29] (link). The BG505 gp120 monomer binds PG9, which is unusual given the quaternary nature of the PG9-Env interaction [29] (link). To make the BG505 SOSIP.664 gp140 construct, we introduced the following sequence changes (Fig. 1A): A501C and T605C (gp120-gp41ECTO disulfide bond [5] (link)); I559P in gp41ECTO (trimer-stabilizing [6] (link)); REKR to RRRRRR in gp120 (cleavage enhancement [31] (link)); T332N in gp120 (introduction of epitopes dependent on glycan-332); stop codon at gp41ECTO residue 664 (improvement of homogeneity and solubility [23] (link), [24] (link)). The codon-optimized gene for BG505 SOSIP.664 gp140 was obtained from Genscript (Piscataway, NJ) and cloned into pPPI4 using PstI and NotI[5] (link).
Variants of the BG505 SOSIP.664 gp140 trimers bearing either a His-tag or a D7324 epitope-tag sequence at the C-terminus of gp41ECTO were also made by adding the amino acid sequences GSGSGGSGHHHHHHHH or GSAPTKAKRRVVQREKR, respectively, after residue 664 in gp41ECTO and preceding the stop codon. These proteins are designated SOSIP.664-His gp140 and SOSIP.664-D7324 gp140. We also made a His-tagged gp140 with the C501 and C605 cysteines replaced by their original residues, and with P559 similarly reverted to the original isoleucine (BG505 WT.664-His gp140). When expressed in the presence of excess furin to ensure efficient precursor cleavage, the absence of the SOS disulfide bond means the gp140 trimer is unstable and dissociates to gp120 and a trimeric form of His-tagged gp41ECTO (BG505 gp41ECTO-His); the latter can be used in a NiNTA-capture enzyme-linked immunosorbent assay (ELISA; see below).
A monomeric BG505 gp120 with a similar sequence to the gp120 components of the gp140 trimers was designed by: introducing a stop codon into the SOSIP.664 construct at residue 512; reverting the optimized cleavage site to wild type (RRRRRR→REKR at residues 508–511); reverting the A501C change; introducing the D7324 epitope into the C5 region (R500K+G507Q); and making a L111A substitution to decrease gp120 dimer formation [29] (link), [63] (link). A slightly modified version of BG505 gp120 that has been described previously [25] (link) was used in DSC experiments. For this modification, the BG505 gp120 gene was cloned downstream of an IgK secretion signal in a phCMV3 plasmid and upstream of a His-tag. The cleavage site was mutated to prevent the His-tag from being cleaved off, leading to the following C-terminal sequence: RAKRRVVGSEKSGHHHHHH.
The BG505 gp160 clone for generating Env-pseudoviruses for neutralization assays has been described elsewhere [29] (link). We modified this clone by inserting the same T332N substitution that is present in the BG505 SOSIP.664 trimers, and refer to the resulting virus as BG505.T332N.
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Publication 2013
Amino Acid Sequence Biological Assay Broadly Neutralizing Antibodies Clone Cells Codon Codon, Terminator Cysteine Cytokinesis Disulfides Enzyme-Linked Immunosorbent Assay Epitopes FURIN protein, human Genes GP 140 HIV-1 HIV Envelope Protein gp120 HIV Envelope Protein gp160 Infant Isoleucine Plasmids Polysaccharides Proteins secretion Sequence Analysis Tissue Donors Virus
We profiled amino acids, biogenic amines, and other polar plasma metabolites using liquid chromatography-tandem mass spectrometry (LC-MS). Formic acid, ammonium acetate, LC-MS grade solvents, and valine-d8 were purchased from Sigma-Aldrich. We purchased the remainder of the isotopically-labeled analytical standards from Cambridge Isotope Labs, Inc. We prepared calibration curves for a subset of the profiled analytes by serial dilution in stock pooled plasma using stable isotope-labeled reference compounds (leucine-13C, 15N, isoleucine-13C6, 15N, alanine-13C, glutamic acid-13C5, 15N, taurine-13C2, trimethylamine-N-oxide-d9). We ran samples with isotope standards for calibration curves at the beginning, middle, and end of each analytical queue. We prepared plasma samples for LC-MS analyses via protein precipitation with the addition of nine volumes of 74.9:24.9:0.2 v/v/v acetonitrile/methanol/formic acid containing two additional stable isotope-labeled internal standards for valine-d8 and phenylalanine-d8. The samples were centrifuged (10 min, 10,000 rpm, 4°C) and the supernatants were injected directly. Detailed methods are provided in the Supplementary Methods.
Publication 2011
acetonitrile Alanine Amino Acids ammonium acetate Biogenic Amines formic acid Glutamic Acid Isoleucine Isotopes Leucine Liquid Chromatography Methanol Phenylalanine Plasma Proteins Solvents Tandem Mass Spectrometry Taurine Technique, Dilution trimethyloxamine Valine
The human and maize spectral libraries (project specific, obtained via fractionated sample analysis using data-dependent acquisition LC-MS/MS) used to generate the two-species compound library have been described previously12 (link). The maize library was filtered to exclude peptides matched to either the NCBI human redundant database (April 25th, 2018) or the UniProt27 (link) human canonical proteome (3AUP000005640). The human library was filtered to include only peptides matched to the latter. In both cases, filtering was performed with leucine and isoleucine treated as the same amino acid. The libraries were merged, resulting in a library containing only precursor ions matched to either human or maize proteomes, but not both. To enable the use of the library by all of the software tools under consideration, the library was converted to the OpenMS-compatible format with the use of DIA-NN. Following the protocol of Navarro and co-workers21 (link), only precursor ions associated with at least six fragment ions were retained in the library, and all fragments but the top six (ordered by their reference intensities) were discarded. This was done to ensure that there is no bias in terms of the distribution of the number of annotated fragments between human and maize precursors. In addition, although DIA-NN can take advantage of large numbers of fragment ions described in the spectral library, many software tools tend to perform poorly if the number of fragment ions is not restricted, e.g. Spectronaut and Skyline only use the top six fragments by default. Reference retention times (Biognosys iRT scale) below -60.0 were adjusted to -60.0, to enable efficient linear retention time prediction by Skyline and OpenSWATH, as the respective precursors were observed to elute concomitantly. A low number of precursor ions had to be removed from the spectral library, so that the library could be imported error-free into Skyline (Supplementary Note 9). The resulting compound spectral library contained 202310 human precursor ions and 9781 maize precursor ions.
Publication 2019
Amino Acids DNA Library Homo sapiens Ions Isoleucine Leucine Maize Peptides Proteome Retention (Psychology) Tandem Mass Spectrometry
All MD simulations were
performed with NAMD40 (link) employing CHARMM-formatted
parameter files41 (link) for all force fields
tested, which are provided in the Supporting Information. For all simulations, a temperature of 300 K and pressure of 1 atm
were maintained with a Nose–Hoover Langevin piston barostat
with a piston period of 100 fs and a piston dampening time scale of
50 fs and a Langevin thermostat with a damping coefficient of 1 ps–1. Nonbonded cutoffs were employed at 11 Å with
a smoothing function starting at 9 Å, with particle mesh Ewald
used to treat long-range electrostatics. The systems were solvated
in cubic water boxes with edge lengths ranging from 25 to 58 Å.
Sodium and chloride ions were added to neutralize the charges in the
system and provide approximately a 150 mM concentration of salt. A
2 fs time step was employed with the use of SHAKE and SETTLE.
Triplicate 205 ns simulations were run for an unblocked alanine pentapeptide
(Ala5) with and glycine tripeptide (Gly3) with
protonated C-termini with the first 5 ns discarded as equilibration.
The remaining amino acids, with the exception of proline, were simulated
for 205 ns as blocked dipeptides, again in triplicate with the first
5 ns discarded as equilibration. Values and error bars throughout
the paper represent the mean and standard deviation of the calculated
quantities from the triplicate runs. Ala5 and Gly3 simulations were run with each of the four weighting temperatures
examined in this work, as well as the previous OPLS-AA and OPLS-AA/L
force field. Dipeptide simulations were performed with OPLS-AA, OPLS-AA/L,
and the new parameters optimized at 2000 K. As each system was studied
for 600 ns with at least three different force fields, over 50 μs
of validating simulations have been executed. In analyzing the molecular
dynamics simulations for the short alanine and glycine peptides, the
definitions of secondary structure, the three sets of Karplus parameters
for calculating J couplings, and the experimental
error values used to calculate χ2 from Best et al.42 (link) were employed. For the dipeptide simulations,
only the first set of Karplus parameters, that of Hu and Bax,43 was employed. χ1 rotamer populations
were determined by dividing the range of χ1 values
into three equal sized bins, corresponding to the p (+60°), t
(180°) and m (−60°) conformers. Definitions of p,
t, and m for valine, isoleucine, and threonine were adopted from the
work of Dunbrak and co-workers27 (link) and are
depicted in Figure 1.
The proteins ubiquitin and GB3 were started from the PDB
structures 1UBQ(44 (link)) and 1P7E(45 (link)) and gradually
heated to 300 K over
400 ps before 205 ns simulations were run. Both the heating period
and the first 5 ns were discarded as equilibration, and simulations
were performed in triplicate for each protein. All other simulation
parameters were identical to those used for the dipeptides. For calculation
of backbone J couplings of the full protein, both
the 1997 empirical Karplus parameters43 used for the dipeptides and another empirical model developed from
work with GB346 (link) are employed. Side chain J couplings were calculated for couplings to methyl side
chains with the set of Karplus parameters developed by Vögeli
et al.,46 (link) while all other couplings employed
Karplus parameters from Perez et al.48 (link)
Publication 2015
A-A-1 antibiotic A 300 Alanine Amino Acids Chlorides Cuboid Bone Dipeptides Electrostatics Glycine Ions Isoleucine Nose Peptides Pressure Proline Proteins Sodium Sodium Chloride Threonine Tremor Ubiquitin Valine Vertebral Column
All MD simulations were performed with NAMD40 (link) employing CHARMM-formatted parameter files41 (link) for all force fields tested, which are provided in the Supporting Information. For all simulations, a temperature of 300 K and pressure of 1 atm were maintained with a Nose–Hoover Langevin piston barostat with a piston period of 100 fs and a piston dampening time scale of 50 fs and a Langevin thermostat with a damping coefficient of 1 ps−1. Nonbonded cutoffs were employed at 11 Å with a smoothing function starting at 9 Å, with particle mesh Ewald used to treat long-range electrostatics. The systems were solvated in cubic water boxes with edge lengths ranging from 25 to 58 Å. Sodium and chloride ions were added to neutralize the charges in the system and provide approximately a 150 mM concentration of salt. A 2 fs time step was employed with the use of SHAKE and SETTLE.
Triplicate 205 ns simulations were run for an unblocked alanine pentapeptide (Ala5) with and glycine tripeptide (Gly3) with protonated C-termini with the first 5 ns discarded as equilibration. The remaining amino acids, with the exception of proline, were simulated for 205 ns as blocked dipeptides, again in triplicate with the first 5 ns discarded as equilibration. Values and error bars throughout the paper represent the mean and standard deviation of the calculated quantities from the triplicate runs. Ala5 and Gly3 simulations were run with each of the four weighting temperatures examined in this work, as well as the previous OPLS-AA and OPLS-AA/L force field. Dipeptide simulations were performed with OPLS-AA, OPLS-AA/L, and the new parameters optimized at 2000 K. As each system was studied for 600 ns with at least three different force fields, over 50 μs of validating simulations have been executed. In analyzing the molecular dynamics simulations for the short alanine and glycine peptides, the definitions of secondary structure, the three sets of Karplus parameters for calculating J couplings, and the experimental error values used to calculate χ2 from Best et al.42 (link) were employed. For the dipeptide simulations, only the first set of Karplus parameters, that of Hu and Bax,43 was employed. χ1 rotamer populations were determined by dividing the range of χ1 values into three equal sized bins, corresponding to the p (+60°), t (180°) and m (−60°) conformers. Definitions of p, t, and m for valine, isoleucine, and threonine were adopted from the work of Dunbrak and co-workers27 (link) and are depicted in Figure 1.
The proteins ubiquitin and GB3 were started from the PDB structures 1UBQ44 (link) and 1P7E45 (link) and gradually heated to 300 K over 400 ps before 205 ns simulations were run. Both the heating period and the first 5 ns were discarded as equilibration, and simulations were performed in triplicate for each protein. All other simulation parameters were identical to those used for the dipeptides. For calculation of backbone J couplings of the full protein, both the 1997 empirical Karplus parameters43 used for the dipeptides and another empirical model developed from work with GB346 (link) are employed. Side chain J couplings were calculated for couplings to methyl side chains with the set of Karplus parameters developed by Vögeli et al.,46 (link) while all other couplings employed Karplus parameters from Perez et al.48 (link)
Publication 2015
A-A-1 antibiotic A 300 Alanine Amino Acids Chlorides Cuboid Bone Dipeptides Electrostatics Glycine Ions Isoleucine Nose Peptides polysucrose-400 Population Group Pressure Proline Proteins Sodium Sodium Chloride Threonine Tremor Ubiquitin Valine Vertebral Column

Most recents protocols related to «Isoleucine»

Not available on PMC !

Example 10

The linear peptide was prepared by solid phase method as per the analogous process given for Example 2, Part A starting with Fmoc protected Isoleucine was first coupled with Wang resin and then sequentially other amino acids were coupled. The grafting of activated fatty acid chain, Moiety C-OSu over the linear peptide by following analogous process of Example 2, Part B afforded the Compound 15.

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Patent 2024
Amino Acids Fatty Acids Isoleucine Peptides polypeptide C Wang resin

Example 10

The linear peptide was prepared by solid phase method as per the analogous process given for Example 2, Part A starting with Fmoc protected Isoleucine was first coupled with Wang resin and then sequentially other amino acids were coupled. The grafting of activated fatty acid chain, Moiety C-OSu over the linear peptide by following analogous process of Example 2, Part B afforded the Compound 15.

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Patent 2024
Amino Acids Fatty Acids Isoleucine Peptides polypeptide C Wang resin
Not available on PMC !

Example 2

Directed TpH Engineering

It was found that Homo sapiens TpH2, i.e., the fragment set forth as SEQ ID NO:13; hsTpH2, was sensitive to p-chlorophenylalanine. However, mutations at residues N97 and/or P99 were found to confer resistance to p-chlorophenylalanine and to exhibit improved 5HTP biosynthesis after growing cells in the presence of 100 mg/l of tryptophan overnight at 3TC. A further, saturated mutagenesis, study found that isoleucine (I) was a beneficial amino acid change at residue N97, while cysteine (C), aspartic acid (D), leucine (L) and glutamine (Q) were shown to be beneficial at residue P99. In particular, the combined changes 1\197I/P99D in hsTpH2 showed a >15% increase in 5HTP production in the presence of 100 mg/l tryptophan and the combined changes N97I/P99C in hsTpH2 showed a >25% increase in 5HTP biosynthesis, over the parent TPH2 sequence (SEQ ID NO:13) after acquiring the E2K mutation.

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Patent 2024
5-Hydroxytryptophan Amino Acids Anabolism Aspartic Acid Cells Cysteine Fenclonine Glutamine Homo sapiens Isoleucine Leucine Melatonin Mutagenesis Mutation Parent Tryptophan
Not available on PMC !

Example 5

The linear peptide was prepared by solid phase method as per the analogous process given for Example 2, Part A except here Fmoc protected Isoleucine was first coupled with Wang resin and then sequentially other amino acids were coupled. The grafting of activated fatty acid chain, Moiety A-OSu over the linear peptide by following the process of Example 2, Part B afforded the Compound 8.

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Patent 2024
Amino Acids Fatty Acids Isoleucine Peptides Wang resin
Not available on PMC !

Example 5

The linear peptide was prepared by solid phase method as per the analogous process given for Example 2, Part A except here Fmoc protected Isoleucine was first coupled with Wang resin and then sequentially other amino acids were coupled. The grafting of activated fatty acid chain, Moiety A-OSu over the linear peptide by following the process of Example 2, Part B afforded the Compound 8.

Full text: Click here
Patent 2024
Amino Acids Fatty Acids Isoleucine Peptides Wang resin

Top products related to «Isoleucine»

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Isoleucine is an amino acid used in the production of various lab equipment. It serves as a core component in the manufacturing process, providing essential properties for the desired functionality of the final product. This description is factual and unbiased, without interpretation or extrapolation on its intended use.
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L-isoleucine is a branched-chain amino acid that can be used as a laboratory reagent. It is a colorless crystalline solid that is soluble in water and organic solvents. L-isoleucine is commonly used in biochemical and physiological research applications.
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Phenylalanine is an amino acid that is used as a laboratory reagent. It is a colorless and odorless crystalline solid. Phenylalanine is a naturally occurring essential amino acid that is required for protein synthesis.
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L-leucine is an amino acid that can be used as a laboratory reagent. It serves as a building block for proteins and is commonly used in cell culture media and other biochemical applications.
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L-phenylalanine is an essential amino acid that serves as a fundamental building block for proteins. It is a commonly used laboratory reagent in various applications, including biochemical research and analysis.
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L-valine is an amino acid that serves as a building block for proteins. It is a colorless, crystalline solid that is soluble in water and alcohol. L-valine is commonly used in the production of pharmaceutical and laboratory products.
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Valine is a laboratory chemical used as an essential amino acid in cell culture and biochemical research applications. It serves as a building block for proteins and plays a role in various metabolic processes. Valine is commonly used in cell culture media formulations to support cell growth and proliferation.
Sourced in United States, Germany, China, Spain, Switzerland, Sao Tome and Principe
Leucine is an essential amino acid commonly used in biochemical and cell culture applications. It serves as a building block for proteins and plays a role in various metabolic processes. The core function of Leucine is to support cellular growth and development.
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Glycine is a colorless, crystalline amino acid that is used as a raw material in the production of various pharmaceutical and chemical products. It serves as a key component in buffer solutions and is commonly employed in the preparation of cell culture media and various biological assays.
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L-tryptophan is an amino acid that serves as a precursor for the synthesis of serotonin, melatonin, and niacin. It is commonly used in various research and laboratory applications.

More about "Isoleucine"

Isoleucine, also known as L-isoleucine, is an essential amino acid that plays a crucial role in various physiological processes.
As a building block of proteins, isoleucine is vital for protein synthesis, muscle growth, and energy production.
It is involved in numerous metabolic pathways and is known to have anti-inflammatory properties.
Researchers studying isoleucine can optimize their investigations by utilizing PubCompare.ai's AI-driven protocols.
These advanced tools enable easy identification of the best research approaches from a vast pool of scientific literature, preprints, and patents.
Leveraging the power of artificial intelligence, scientists can streamline their isoleucine research and discover the most effective strategies to advance their understanding of this important biomolecule.
Isoleucine is often studied alongside other essential amino acids, such as leucine, valine, phenylalanine, tryptophan, and glycine.
These amino acids share similar structural and functional characteristics, and their interactions and synergies are of great interest to researchers.
By exploring the relationships and interdependencies between these biomolecules, scientists can gain a more comprehensive understanding of their roles in cellular processes, metabolic regulation, and overall health.
PubCompare.ai's intelligent comparison tools provide researchers with a valuable resource to navigate the vast landscape of isoleucine-related studies, identify the most promising research approaches, and accelerate their scientific discoveries.
By harnessing the power of AI, scientists can optimize their isoleucine research, leading to more efficient and effective investigations that contribute to our understanding of this essential amino acid and its impact on human physiology.