A practical reference on copper peptide: what it is, how it behaves, what the literature reports, and where the honest uncertainties sit.
This page was last updated on 2025-10-27 and is reviewed periodically as new material appears.
The peptide sequence places a histidine in the middle, and this residue dominates metal binding. Copper(II) coordinates through the imidazole nitrogen of histidine and the terminal amino group, forming a stable chelate ring system. Loss of the copper ion leaves the free tripeptide, which has different solubility and reactivity. This structural detail matters because assays that measure only the peptide backbone can miss whether copper is still bound to it.
Several names circulate for the same material, which complicates literature searches. Cosmetic ingredient lists often use copper tripeptide-1, while older biochemistry papers use glycyl-L-histidyl-lysine or its abbreviation GHK. The copper complex is sometimes written as GHK-Cu(II) to make the oxidation state explicit. Terminology is not fully standardized, so matching a compound across sources requires attention to the exact sequence, the counterion, and the stated copper content. Reviews that compare studies must account for these naming differences before drawing conclusions.
GHK-Cu is the copper(II) complex of the tripeptide glycyl-L-histidyl-L-lysine, a short sequence of three amino acids. The peptide was first isolated from human plasma in 1973 during research on factors that influence tissue repair in liver. Its ability to bind copper ions became a central point of interest because the metal changes the peptide's chemistry and its behaviour in laboratory systems. Today the compound appears in cosmetic formulations, cell-culture studies, and biochemistry literature under several names.
The molecular weight and charge of GHK-Cu depend on the pH and the number of coordinated ligands. At neutral pH, the peptide typically binds one copper ion, but ternary complexes with other biomolecules can form. Spectroscopic methods such as electron paramagnetic resonance and circular dichroism are used to study the coordination environment. Reports on the exact geometry vary because the complex is dynamic in solution. Researchers often use synthetic GHK-Cu rather than extracted material to control stoichiometry and purity.
GHK-Cu is a coordination complex formed from the tripeptide glycyl-L-histidyl-L-lysine and a copper(II) ion. The peptide binds copper through its histidine imidazole nitrogen, the terminal amino group, and the deprotonated amide nitrogen. This arrangement creates a square-planar or distorted geometry around the metal center, depending on pH and the presence of competing ligands. The complex occurs naturally in human plasma, saliva, and urine at low concentrations, and its sequence is conserved across many vertebrate species.
Discovery of GHK is generally attributed to work in the 1970s that isolated a plasma factor influencing liver cell behavior. Subsequent studies identified the copper-binding tripeptide and its ability to chelate copper with high affinity. Early reports linked the complex to wound healing and tissue remodeling in animal models. The free peptide and the copper-bound form have different properties, so the two are distinguished in the literature. Whether endogenous GHK-Cu serves a single primary physiological role remains an open question.
| Property | Value | Notes |
|---|---|---|
| Peptide sequence | Gly-His-Lys | Three amino acids, histidine in the middle |
| Complex formula | C14H22CuN6O4 | One copper(II) ion per peptide |
| Molar mass (complex) | approx. 402.9 g/mol | Depends on counterion and hydration state |
| Appearance | Blue to blue-violet solid | Colour arises from copper coordination |
| Common synonyms | Copper tripeptide-1, GHK-Cu | Naming varies between disciplines |
Stability depends on temperature, light exposure, moisture, and the presence of oxidizing or reducing agents. Solid material held dry and protected from light is generally more stable than aqueous solutions, which can undergo gradual degradation. Recommended storage in much of the literature is a freezer at around minus twenty degrees Celsius for long-term retention, with working aliquots kept cold and shielded from light. Repeated freeze-thaw cycles and alkaline pH are commonly noted as factors that accelerate loss of the intact complex, though exact degradation rates vary.
Analytical confirmation usually combines a separation method with a copper-specific measurement. Liquid chromatography or mass spectrometry establishes peptide identity and purity, while an elemental measurement quantifies the metal content. A frequent misconception is that any blue solution contains an intact copper peptide complex; color alone does not confirm structure, because free copper salts and degraded mixtures can also appear colored. Literature on efficacy is mixed, with in vitro findings often more dramatic than human evidence, and reviews note small sample sizes and short follow-up. Open questions include optimal concentration, skin penetration, and long-term effects.
Published work on GHK-Cu concentrates largely on cell culture systems rather than whole organisms. Frequently used endpoints include collagen synthesis, expression of matrix metalloproteinases, and migration of fibroblasts. Some reports describe antioxidant behavior, while others stress delivery of copper into cells. These mechanisms are proposed rather than demonstrated, and the relative weight of each pathway is unclear. Human trials are few and generally small, so laboratory findings should not be read as confirmed clinical results.
GHK-Cu is a coordination complex formed between the tripeptide glycyl-L-histidyl-L-lysine and a copper(II) ion. The peptide backbone consists of glycine, histidine, and lysine joined in that order. Copper is held through the imidazole nitrogen of histidine and the alpha-amino group at the N-terminus, which together produce a square-planar arrangement around the metal center. The solid appears blue to violet, a color that originates from d-d electronic transitions within the copper coordination sphere. The complex is indexed under CAS number 89030-95-5.
The copper-binding activity of this sequence was described in the 1970s during studies of liver tissue and plasma factors. Early work identified the peptide as a component that influenced copper uptake by cells and that appeared in wound fluid. Later investigations examined its presence across species, reporting the same chain in human and animal samples. A decline in measured concentration with age became a recurring observation, although the underlying causes remain incompletely characterised.
Published studies describe the complex in several research contexts, including collagen synthesis, antioxidant behaviour, and wound repair models. Much of this work is conducted in cultured cells or in small animal systems, and the findings are frequently cited in reviews of copper peptides. Direct clinical evidence in humans is comparatively limited, and reported outcomes vary with formulation and study design. Whether free chain or metal-bound form was used is not always stated, a point that complicates comparison between reports.
===== MeSH D08.811.913.696 – phosphotransferases (EC 2.7) ===== MeSH D08.811.913.696.175 – diphosphotransferases MeSH D08.811.913.696.175.300 – gtp pyrophosphokinase MeSH D08.811.913.696.175.650 – ribose-phosphate pyrophosphokinase MeSH D08.811.913.696.175.825 – thiamin pyrophosphokinase MeSH D08.811.913.696.310 – myosin type iii MeSH D08.811.913.696.445 – nucleotidyltransferases MeSH D08.811.913.696.445.035 – n-acylneuraminate cytidylyltransferase MeSH D08.811.913.696.445.184 – choline-phosphate cytidylyltransferase MeSH D08.811.913.696.445.308 – dna nucleotidyltransferases MeSH D08.811.913.696.445.308.300 – dna-directed dna polymerase MeSH D08.811.913.696.445.308.300.112 – dna polymerase beta MeSH D08.811.913.696.445.308.300.225 – dna polymerase i MeSH D08.811.913.696.445.308.300.230 – dna polymerase ii MeSH D08.811.913.696.445.308.300.235 – dna polymerase iii MeSH D08.811.913.696.445.308.300.750 – RNA-directed dna polymerase MeSH D08.811.913.696.445.308.300.750.375 – hiv-1 reverse transcriptase MeSH D08.811.913.696.445.308.300.750.750 – telomerase MeSH D08.811.913.696.445.308.300.875 – taq polymerase MeSH D08.811.913.696.445.308.325 – dna nucleotidylexotransferase MeSH D08.811.913.696.445.400 – glucose-1-phosphate adenylyltransferase MeSH D08.811.913.696.445.600 – nicotinamide-nucleotide adenylyltransferase MeSH D08.811.913.696.445.625 – 2',5'-oligoadenylate synthetase MeSH D08.811.913.696.445.650 – polynucleotide adenylyltransferase MeSH D08.811.913.696.445.692 – rec a recombinases MeSH D08.811.913.696.445.735 – rna nucleotidyltransferases MeSH D08.811.913.696.445.735.265 – dna, catalytic MeSH D08.811.913.696.445.735.270 – dna-directed rna polymerases MeSH D08.811.913.696.445.735.270.375 – dna primase MeSH D08.811.913.696.445.735.270.750 – rna polymerase i MeSH D08.811.913.696.445.735.270.762 – rna polymerase ii MeSH D08.811.913.696.445.735.270.775 – rna polymerase iii MeSH D08.811.913.696.445.735.270.887 – rna polymerase sigma 54 MeSH D08.811.913.696.445.735.532 – polyribonucleotide nucleotidyltransferase MeSH D08.811.913.696.445.735.630 – q beta replicase MeSH D08.811.913.696.445.735.720 – rna helicases MeSH D08.811.913.696.445.735.720.500 – eukaryotic initiation factor-4a MeSH D08.811.913.696.445.735.780 – rna replicase MeSH D08.811.913.696.445.735.917 – rna, ribosomal, self-splicing MeSH D08.811.913.696.445.800 – sulfate adenylyltransferase MeSH D08.811.913.696.445.825 – transposases MeSH D08.811.913.696.445.825.500 – hiv integrase MeSH D08.811.913.696.445.837 – transposon resolvases MeSH D08.811.913.696.445.850 – UDP-glucose—hexose-1-phosphate uridylyltransferase MeSH D08.811.913.696.445.875 – UTP—glucose-1-phosphate uridylyltransferase MeSH D08.811.913.696.445.900 – UTP—hexose-1-phosphate uridylyltransferase MeSH D08.811.913.696.445.950 – vdj recombinases MeSH D08.811.913.696.620 – phosphotransferases (alcohol group acceptor) MeSH D08.811.913.696.620.010 – adenosine kinase MeSH D08.811.913.696.620.155 – choline kinase MeSH D08.811.913.696.620.175 – deoxycytidine kinase MeSH D08.811.913.696.620.200 – diacylglycerol kinase MeSH D08.811.913.696.620.225 – fructokinases MeSH D08.811.913.696.620.225.850 – phosphofructokinases MeSH D08.811.913.696.620.225.850.500 – phosphofructokinase-1 MeSH D08.811.913.696.620.225.850.500.249 – phosphofructokinase-1, liver type MeSH D08.811.913.696.620.225.850.500.500 – phosphofructokinase-1, muscle type MeSH D08.811.913.696.620.225.850.500.750 – phosphofructokinase-1, type c MeSH D08.811.913.696.620.225.850.750 – phosphofructokinase-2 MeSH D08.811.913.696.620.240 – galactokinase MeSH D08.811.913.696.620.250 – glucokinase MeSH D08.811.913.696.620.275 – glycerol kinase MeSH D08.811.913.696.620.300 – hexokinase MeSH D08.811.913.696.620.475 – kanamycin kinase MeSH D08.811.913.696.620.525 – 1-phosphatidylinositol 3-kinase MeSH D08.811.913.696.620.550 – 1-phosphatidylinositol 4-kinase MeSH D08.811.913.696.620.650 – phosphoenolpyruvate sugar phosphotransferase system MeSH D08.811.913.696.620.680 – polynucleotide 5'-hydroxyl-kinase MeSH D08.811.913.696.620.682 – protein kinases MeSH D08.811.913.696.620.682.650 – phosphorylase kinase MeSH D08.811.913.696.620.682.700 – protein-serine-threonine kinases MeSH D08.811.913.696.620.682.700.062 – activin receptors MeSH D08.811.913.696.620.682.700.062.500 – activin receptors, type i MeSH D08.811.913.696.620.682.700.062.750 – activin receptors, type ii MeSH D08.811.913.696.620.682.700.109 – bone morphogenetic protein receptors MeSH D08.811.913.696.620.682.700.109.500 – bone morphogenetic protein receptors, type i MeSH D08.811.913.696.620.682.700.109.750 – bone morphogenetic protein receptors, type ii MeSH D08.811.913.696.620.682.700.125 – ca(2+)-calmodulin dependent protein kinase MeSH D08.811.913.696.620.682.700.125.500 – myosin-light-chain kinase MeSH D08.811.913.696.620.682.700.140 – casein kinases MeSH D08.811.913.696.620.682.700.140.300 – casein kinase i MeSH D08.811.913.696.620.682.700.140.300.100 – casein kinase ialpha MeSH D08.811.913.696.620.682.700.140.300.200 – casein kinase idelta MeSH D08.811.913.696.620.682.700.140.300.300 – casein kinase iepsilon MeSH D08.811.913.696.620.682.700.140.600 – casein kinase ii MeSH D08.811.913.696.620.682.700.150 – cyclic nucleotide-regulated protein kinases MeSH D08.811.913.696.620.682.700.150.125 – cyclic amp-dependent protein kinases MeSH D08.811.913.696.620.682.700.150.125.500 – beta-adrenergic-receptor kinase MeSH D08.811.913.696.620.682.700.150.150 – cyclic gmp-dependent protein kinases MeSH D08.811.913.696.620.682.700.150.575 – protamine kinase MeSH D08.811.913.696.620.682.700.200 – cyclin-dependent kinases MeSH D08.811.913.696.620.682.700.200.067 – cdc2-cdc28 kinases MeSH D08.811.913.696.620.682.700.200.067.249 – cdc2 protein kinase MeSH D08.811.913.696.620.682.700.200.067.500 – cdc28 protein kinase, s cerevisiae MeSH D08.811.913.696.620.682.700.200.067.875 – cyclin-dependent kinase 5 MeSH D08.811.913.696.620.682.700.200.067.900 – cyclin-dependent kinase 9 MeSH D08.811.913.696.620.682.700.200.323 – cyclin-dependent kinase 2 MeSH D08.811.913.696.620.682.700.200.451 – cyclin-dependent kinase 4 MeSH D08.811.913.696.620.682.700.200.515 – cyclin-dependent kinase 6 MeSH D08.811.913.696.620.682.700.200.580 – maturation-promoting factor MeSH D08.811.913.696.620.682.700.200.580.500 – cdc2 protein kinase MeSH D08.811.913.696.620.682.700.250 – dna-activated protein kinase MeSH D08.811.913.696.620.682.700.300 – eif-2 kinase MeSH D08.811.913.696.620.682.700.429 – glycogen synthase kinases MeSH D08.811.913.696.620.682.700.429.500 – glycogen synthase kinase 3 MeSH D08.811.913.696.620.682.700.494 – i-kappa B kinase MeSH D08.811.913.696.620.682.700.559 – map kinase kinase kinases MeSH D08.811.913.696.620.682.700.559.100 – map kinase kinase kinase 1 MeSH D08.811.913.696.620.682.700.559.200 – map kinase kinase kinase 2 MeSH D08.811.913.696.620.682.700.559.300 – map kinase kinase kinase 3 MeSH D08.811.913.696.620.682.700.559.400 – map kinase kinase kinase 4 MeSH D08.811.913.696.620.682.700.559.500 – map kinase kinase kinase 5 MeSH D08.811.913.696.620.682.700.559.800 – proto-oncogene proteins c-mos MeSH D08.811.913.696.620.682.700.559.842 – raf kinases MeSH D08.811.913.696.620.682.700.559.842.249 – oncogene proteins v-raf MeSH D08.811.913.696.620.682.700.559.842.374 – proto-oncogene proteins b-raf MeSH D08.811.913.696.620.682.700.559.842.500 – proto-oncogene proteins c-raf MeSH D08.811.913.696.620.682.700.565 – mitogen-activated protein kinase kinases MeSH D08.811.913.696.620.682.700.565.100 – map kinase kinase 1 MeSH D08.811.913.696.620.682.700.565.200 – map kinase kinase 2 MeSH D08.811.913.696.620.682.700.565.300 – map kinase kinase 3 MeSH D08.811.913.696.620.682.700.565.400 – map kinase kinase 4 MeSH D08.811.913.696.620.682.700.565.500 – map kinase kinase 5 MeSH D08.811.913.696.620.682.700.565.600 – map kinase kinase 6 MeSH D08.811.913.696.620.682.700.565.700 – map kinase kinase 7 MeSH D08.811.913.696.620.682.700.567 – mitogen-activated protein kinases MeSH D08.811.913.696.620.682.700.567.342 – extracellular signal-regulated map kinases MeSH D08.811.913.696.620.682.700.567.342.500 – mitogen-activated protein kinase 1 MeSH D08.811.913.696.620.682.700.567.342.750 – mitogen-activated protein kinase 3 MeSH D08.811.913.696.620.682.700.567.342.875 – mitogen-activated protein kinase 6 MeSH D08.811.913.696.620.682.700.567.342.937 – mitogen-activated protein kinase 7 MeSH D08.811.913.696.620.682.700.567.513 – jnk mitogen-activated protein kinases MeSH D08.811.913.696.620.682.700.567.513.500 – mitogen-activated protein kinase 8 MeSH D08.811.913.696.620.682.700.567.513.750 – mitogen-activated protein kinase 9 MeSH D08.811.913.696.620.682.700.567.513.800 – mitogen-activated protein kinase 10 MeSH D08.811.913.696.620.682.700.567.878 – p38 mitogen-activated protein kinases MeSH D08.811.913.696.620.682.700.586 – oncogene protein v-akt MeSH D08.811.913.696.620.682.700.606 – phytochrome a MeSH D08.811.913.696.620.682.700.646 – proline-directed protein kinases MeSH D08.811.913.696.620.682.700.646.500 – cyclin-dependent kinases MeSH D08.811.913.696.620.682.700.646.500.500 – cdc2-cdc28 kinases MeSH D08.811.913.696.620.682.700.646.500.500.500 – cyclin-dependent kinase 5 MeSH D08.811.913.696.620.682.700.646.500.750 – cyclin-dependent kinase 2 MeSH D08.811.913.696.620.682.700.646.500.875 – cyclin-dependent kinase 4 MeSH D08.811.913.696.620.682.700.646.500.937 – cyclin-dependent kinase 6 MeSH D08.811.913.696.620.682.700.646.625 – glycogen synthase kinase 3 MeSH D08.811.913.696.620.682.700.646.750 – mitogen-activated protein kinases MeSH D08.811.913.696.620.682.700.646.750.249 – extracellular signal-regulated map kinases MeSH D08.811.913.696.620.682.700.646.750.249.500 – mitogen-activated protein kinase 1 MeSH D08.811.913.696.620.682.700.646.750.249.750 – mitogen-activated protein kinase 3 MeSH D08.811.913.696.620.682.700.646.750.249.875 – mitogen-activated protein kinase 6 MeSH D08.811.913.696.620.682.700.646.750.249.937 – mitogen-activated protein kinase 7 MeSH D08.811.913.696.620.682.700.646.750.374 – jnk mitogen-activated protein kinases MeSH D08.811.913.696.620.682.700.646.750.374.500 – mitogen-activated protein kinase 8 MeSH D08.811.913.696.620.682.700.646.750.374.750 – mitogen-activated protein kinase 9 MeSH D08.811.913.696.620.682.700.646.750.374.800 – mitogen-activated protein kinase 10 MeSH D08.811.913.696.620.682.700.646.750.843 – p38 mitogen-activated protein kinases MeSH D08.811.913.696.620.682.700.725 – protein kinase C MeSH D08.811.913.696.620.682.700.725.100 – protein kinase C-alpha MeSH D08.811.913.696.620.682.700.725.400 – protein kinase C-delta MeSH D08.811.913.696.620.682.700.725.750 – protein kinase C-epsilon MeSH D08.811.913.696.620.682.700.755 – proto-oncogene proteins C-akt MeSH D08.811.913.696.620.682.700.759 – proto-oncogene proteins C-bcr MeSH D08.811.913.696.620.682.700.776 – proto-oncogene proteins C-pim-1 MeSH D08.811.913.696.620.682.700.827 – rhodopsin kinase MeSH D08.811.913.696.620.682.700.862 – ribosomal protein s6 kinases MeSH D08.811.913.696.620.682.700.862.249 – ribosomal protein s6 kinases, 70-kda MeSH D08.811.913.696.620.682.700.862.500 – ribosomal protein s6 kinases, 90-kda MeSH D08.811.913.696.620.682.725 – protein-tyrosine kinase MeSH D08.811.913.696.620.682.725.049 – focal adhesion protein-tyrosine kinases MeSH D08.811.913.696.620.682.725.049.500 – focal adhesion kinase 1 MeSH D08.811.913.696.620.682.725.049.750 – focal adhesion kinase 2 MeSH D08.811.913.696.620.682.725.200 – mitogen-activated protein kinase kinases MeSH D08.811.913.696.620.682.725.200.100 – map kinase kinase 1 MeSH D08.811.913.696.620.682.725.200.200 – map kinase kinase 2 MeSH D08.811.913.696.620.682.725.200.300 – map kinase kinase 3 MeSH D08.811.913.696.620.682.725.200.400 – map kinase kinase 4 MeSH D08.811.913.696.620.682.725.200.500 – map kinase kinase 5 MeSH D08.811.913.696.620.682.725.200.600 – map kinase kinase 6 MeSH D08.811.913.696.620.682.725.200.700 – map kinase kinase 7 MeSH D08.811.913.696.620.682.725.300 – proto-oncogene proteins c-fes MeSH D08.811.913.696.620.682.725.400 – receptor protein-tyrosine kinases MeSH D08.811.913.696.620.682.725.400.020 – fms-like tyrosine kinase 3 MeSH D08.811.913.696.620.682.725.400.024 – receptor, fibroblast growth factor, type 1 MeSH D08.811.913.696.620.682.725.400.037 – receptor, fibroblast growth factor, type 2 MeSH D08.811.913.696.620.682.725.400.043 – receptor, fibroblast growth factor, type 3 MeSH D08.811.913.696.620.682.725.400.046 – receptor, fibroblast growth factor, type 4 MeSH D08.811.913.696.620.682.725.400.050 – proto-oncogene proteins c-kit MeSH D08.811.913.696.620.682.725.400.075 – proto-oncogene proteins c-met MeSH D08.811.913.696.620.682.725.400.087 – proto-oncogene proteins c-ret MeSH D08.811.913.696.620.682.725.400.100 – receptor, epidermal growth factor MeSH D08.811.913.696.620.682.725.400.150 – receptor, erbb-2 MeSH D08.811.913.696.620.682.725.400.175 – receptor, erbb-3 MeSH D08.811.913.696.620.682.725.400.185 – receptor, igf type 1 MeSH D08.811.913.696.620.682.725.400.200 – receptor, insulin MeSH D08.811.913.696.620.682.725.400.500 – receptor, macrophage colony-stimulating factor MeSH D08.811.913.696.620.682.725.400.660 – receptor, trka MeSH D08.811.913.696.620.682.725.400.700 – receptor, trkb MeSH D08.811.913.696.620.682.725.400.800 – receptor, trkc MeSH D08.811.913.696.620.682.725.400.850 – receptors, eph family MeSH D08.811.913.696.620.682.725.400.850.050 – receptor, epha1 MeSH D08.811.913.696.620.682.725.400.850.100 – receptor, epha2 MeSH D08.811.913.696.620.682.725.400.850.150 – receptor, epha3 MeSH D08.811.913.696.620.682.725.400.850.200 – receptor, epha4 MeSH D08.811.913.696.620.682.725.400.850.250 – receptor, epha5 MeSH D08.811.913.696.620.682.725.400.850.300 – receptor, epha6 MeSH D08.811.913.696.620.682.725.400.850.400 – receptor, epha7 MeSH D08.811.913.696.620.682.725.400.850.500 – receptor, epha8 MeSH D08.811.913.696.620.682.725.400.850.600 – receptor, ephb1 MeSH D08.811.913.696.620.682.725.400.850.650 – receptor, ephb2 MeSH D08.811.913.696.620.682.725.400.850.700 – receptor, ephb3 MeSH D08.811.913.696.620.682.725.400.850.750 – receptor, ephb4 MeSH D08.811.913.696.620.682.725.400.850.800 – receptor, ephb5 MeSH D08.811.913.696.620.682.725.400.900 – receptors, platelet-derived growth factor MeSH D08.811.913.696.620.682.725.400.900.500 – receptor, platelet-derived growth factor alpha MeSH D08.811.913.696.620.682.725.400.900.750 – receptor, platelet-derived growth factor beta MeSH D08.811.913.696.620.682.725.400.925 – receptors, tie MeSH D08.811.913.696.620.682.725.400.925.249 – receptor, tie-1 MeSH D08.811.913.696.620.682.725.400.925.500 – receptor, tie-2 MeSH D08.811.913.696.620.682.725.400.950 – receptors, vascular endothelial growth factor MeSH D08.811.913.696.620.682.725.400.950.100 – vascular endothelial growth factor receptor-1 MeSH D08.811.913.696.620.682.725.400.950.200 – vascular endothelial growth factor receptor 2 MeSH D08.811.913.696.620.682.725.400.950.300 – vascular endothelial growth factor receptor-3 MeSH D08.811.913.696.620.682.725.500 – proto-oncogene proteins c-abl MeSH D08.811.913.696.620.682.725.800 – src-family kinases MeSH D08.811.913.696.620.682.725.800.315 – lymphocyte specific protein tyrosine kinase p56(lck) MeSH D08.811.913.696.620.682.725.800.472 – oncogene protein pp60(v-src) MeSH D08.811.913.696.620.682.725.800.551 – proto-oncogene proteins c-fyn MeSH D08.811.913.696.620.682.725.800.590 – proto-oncogene proteins c-hck MeSH D08.811.913.696.620.682.725.800.610 – proto-oncogene proteins c-yes MeSH D08.811.913.696.620.682.725.800.630 – proto-oncogene proteins pp60(c-src) MeSH D08.811.913.696.620.682.725.900 – zap-70 protein-tyrosine kinase MeSH D08.811.913.696.620.685 – pyridoxal kinase MeSH D08.811.913.696.620.695 – pyruvate kinase MeSH D08.811.913.696.620.750 – thymidine kinase MeSH D08.811.913.696.620.800 – uridine kinase MeSH D08.811.913.696.630 – phosphotransferases (carboxyl group acceptor) MeSH D08.811.913.696.630.025 – acetate kinase MeSH D08.811.913.696.630.050 – aspartate kinase MeSH D08.811.913.696.630.050.050 – aspartokinase homoserine dehydrogenase MeSH D08.811.913.696.630.700 – phosphoglycerate kinase MeSH D08.811.913.696.640 – phosphotransferases (nitrogenous group acceptor) MeSH D08.811.913.696.640.025 – arginine kinase MeSH D08.811.913.696.640.150 – creatine kinase MeSH D08.811.913.696.640.150.500 – creatine kinase, bb form MeSH D08.811.913.696.640.150.625 – creatine kinase, mb form MeSH D08.811.913.696.640.150.750 – creatine kinase, mitochondrial form MeSH D08.811.913.696.640.150.875 – creatine kinase, mm form MeSH D08.811.913.696.645 – phosphotransferases (paired acceptors) MeSH D08.811.913.696.645.700 – pyruvate, orthophosphate dikinase MeSH D08.811.913.696.650 – phosphotransferases (phosphate group acceptor) MeSH D08.811.913.696.650.025 – adenylate kinase MeSH D08.811.913.696.650.150 – atp synthetase complexes MeSH D08.811.913.696.650.150.500 – proton-translocating atpases MeSH D08.811.913.696.650.150.500.249 – bacterial proton-translocating atpases MeSH D08.811.913.696.650.150.500.500 – chloroplast proton-translocating atpases MeSH D08.811.913.696.650.150.500.750 – mitochondrial proton-translocating atpases MeSH D08.811.913.696.650.150.500.875 – vacuolar proton-translocating atpases MeSH D08.811.913.696.650.450 – guanylate kinase MeSH D08.811.913.696.650.550 – nucleoside-diphosphate kinase MeSH D08.811.913.696.650.575 – nucleoside-phosphate kinase MeSH D08.811.913.696.900 – transferases (other substituted phosphate groups) MeSH D08.811.913.696.900.074 – CDP-diacylglycerol—inositol 3-phosphatidyltransferase MeSH D08.811.913.696.900.150 – CDP-diacylglycerol—serine O-phosphatidyltransferase MeSH D08.811.913.696.900.200 – diacylglycerol cholinephosphotransferase MeSH D08.811.913.696.900.250 – ethanolaminephosphotransferase
Because of this fact, it has become common practice to establish the quality of NMR ensembles, by comparing it against the unique conformation determined by X-ray diffraction, for the same protein. However, the X-ray diffraction structure may not exist, and, since the proteins in solution are flexible molecules, a protein represented by a single structure may lead to underestimate the intrinsic variation of the atomic positions of a protein. A set of conformations, determined by NMR or X-ray crystallography may be a better representation of the experimental data of a protein than a unique conformation. The utility of a model will be given, at least in part, by the degree of accuracy and precision of the model. An accurate model with relatively poor precision could be useful to study the evolutionary relationships between the structures of a set of proteins, whereas the rational drug design requires both precise and accurate models. A model that is not accurate, regardless of the degree of precision with which it was obtained will not be very useful. Since protein structures are experimental models that can contain errors, it is very important to be able to detect these errors. The process aimed at the detection of errors is known as validation. There are several methods to validate structures, some are statistical like PROCHECK and WHAT IF while others are based on physical principles as CheShift, or a mixture of statistical and physics principles PSVS.
The low energy consumption, low maintenance and small size of LEDs has led to uses as status indicators and displays on a variety of equipment and installations. Large-area LED displays are used as stadium displays, dynamic decorative displays, and dynamic message signs on freeways. Thin, lightweight message displays are used at airports and railway stations, and as destination displays for trains, buses, trams, and ferries.
The Standards for Reporting Enzymology Data guidelines provide minimum information required to comprehensively report kinetic and equilibrium data from investigations of enzyme activities including corresponding experimental conditions. The guidelines have been developed to report functional enzyme data with rigor and robustness.
Since calculations generally predict that oganesson should not be particularly inert due to relativistic effects, and may not even be a gas at room temperature if it could be produced in bulk, its status as a noble gas is often questioned in this context. Furthermore, national variations are sometimes encountered: in Japan, alkaline earth metals often do not include beryllium and magnesium as their behaviour is different from the heavier group 2 metals.
Sources: en.wikipedia.org
Mental health can be seen as a continuum, where an individual's mental health may have many different possible values. Mental wellness is viewed as a positive attribute; this definition of mental health highlights emotional well-being, the capacity to live a full and creative life, and the flexibility to deal with life's inevitable challenges. Some discussions are formulated in terms of contentment or happiness. Many therapeutic systems and self-help books offer methods and philosophies espousing strategies and techniques vaunted as effective for further improving the mental wellness. Positive psychology is increasingly prominent in mental health. A holistic model of mental health generally includes concepts based upon anthropological, educational, psychological, religious, and sociological perspectives. There are also models as theoretical perspectives from personality, social, clinical, health and developmental psychology. The tripartite model of mental well-being views mental well-being as encompassing three components of emotional well-being, social well-being, and psychological well-being. Emotional well-being is defined as having high levels of positive emotions, whereas social and psychological well-being are defined as the presence of psychological and social skills and abilities that contribute to optimal functioning in daily life. The model has received empirical support across cultures. The Mental Health Continuum-Short Form (MHC-SF) is the most widely used scale to measure the tripartite model of mental well-being.
Drug development is the process of bringing a new drug to the market once a lead compound has been identified through the process of drug discovery. It includes pre-clinical research (microorganisms/animals) and clinical trials (on humans) and may include the step of obtaining regulatory approval to market the drug. Drug Development Process Discovery: The Drug Development process starts with Discovery, a process of identifying a new medicine. Development: Chemicals extracted from natural products are used to make pills, capsules, or syrups for oral use. Injections for direct infusion into the blood drops for eyes or ears. Preclinical research: Drugs go under laboratory or animal testing, to ensure that they can be used on Humans. Clinical testing: The drug is used on people to confirm that it is safe to use. FDA Review: drug is sent to FDA before launching the drug into the market. FDA post-Market Review: The drug is reviewed and monitored by FDA for the safety once it is available to the public.
=== Error correction procedures === To overcome problems associated with oligonucleotide quality several elaborate strategies have been developed, employing either separately prepared fishing oligonucleotides, mismatch binding enzymes of the mutS family or specific endonucleases from bacteria or phages. Nevertheless, all these strategies increase time and costs for gene synthesis based on the annealing of chemically synthesized oligonucleotides. Massively parallel sequencing has also been used as a tool to screen complex oligonucleotide libraries and enable the retrieval of accurate molecules. In one approach, oligonucleotides are sequenced on the 454 pyrosequencing platform and a robotic system images and picks individual beads corresponding to accurate sequence. In another approach, a complex oligonucleotide library is modified with unique flanking tags before massively parallel sequencing. Tag-directed primers then enable the retrieval of molecules with desired sequences by dial-out PCR. Increasingly, genes are ordered in sets including functionally related genes or multiple sequence variants on a single gene. Virtually all of the therapeutic proteins in development, such as monoclonal antibodies, are optimised by testing many gene variants for improved function or expression.Codon optimization has applications in designing synthetic genes and DNA vaccines. Recent tools include machine-learning models such as ColiFormer, which use sequence features to guide codon optimization; an open implementation is available as a public Hugging Face Space.
Matrix metalloproteinase-9 (MMP-9), also known as 92 kDa type IV collagenase, 92 kDa gelatinase or gelatinase B (GELB), is a matrixin, a class of enzymes that belong to the zinc-metalloproteinases family involved in the degradation of the extracellular matrix. In humans the MMP9 gene encodes for a signal peptide, a propeptide, a catalytic domain with inserted three repeats of fibronectin type II domain followed by a C-terminal hemopexin-like domain.
Sources: en.wikipedia.org
Drying is a mass transfer process consisting of the removal of water or another solvent by evaporation from a solid, semi-solid or liquid. This process is often used as a final production step before selling or packaging products. To be considered "dried", the final product must be solid, in the form of a continuous sheet (e.g., paper), long pieces (e.g., wood), particles (e.g., cereal grains or corn flakes) or powder (e.g., sand, salt, washing powder, milk powder). A source of heat and an agent to remove the vapor produced by the process are often involved. In bioproducts like food, grains, and pharmaceuticals like vaccines, the solvent to be removed is almost invariably water. Desiccation may be synonymous with drying or considered an extreme form of drying. In the most common case, a gas stream, e.g., air, applies the heat by convection and carries away the vapor as humidity. Other possibilities are vacuum drying, where heat is supplied by conduction or radiation (or microwaves), while the vapor thus produced is removed by the vacuum system. Another indirect technique is drum drying (used, for instance, for manufacturing potato flakes), where a heated surface is used to provide the energy, and aspirators draw the vapor outside the room. In contrast, the mechanical extraction of the solvent, e.g., water, by filtration or centrifugation, is not considered "drying" but rather "draining".
In Chile, there is a history of an unfriendly policy with Peru since the commercial rivalry between Callao and Valparaíso during colonial times, beginning a geopolitical project after its independence, the "Doctrina Portales" (formulated mainly by Diego Portales), being the Chilean most iconic anti-Peruvian policy, a geopolitical formula that influenced a lot in Chilean nationalism and Armed Forces Intellectuals. Is based that, to consolidate itself as a great power in the Pacific, Chile must oppose to the development of Peru, based on the danger that this country represented for the sovereignty and development of Chile and South America.
Many of these conditions are far more common and more likely to be the source of necrotic wounds, even in areas where brown recluse spiders actually occur. The most important of these is methicillin-resistant Staphylococcus aureus (MRSA), a bacterium whose necrotic lesions are very similar to those induced by recluse bites, and which can be lethal if left untreated. Misdiagnosis of MRSA as spider bites is extremely common (nearly 30% of patients with MRSA reported that they initially suspected a spider bite), and can have fatal consequences. Reported cases of brown recluse bites occur primarily in Arkansas, Colorado, Kansas, Missouri, Nebraska, Oklahoma, and Texas. There have been many reports of brown recluse bites in California – though a few related species of spiders may be found there, none of the related spiders in California is known to bite humans. To date, the reports of bites from areas outside of the spider's native range have been either unverified or, if verified, the spiders have been moved to those locations by travelers or commerce.
=== RFLP === A restriction fragment length polymorphism results in the cleavage (or absence thereof) of DNA for a specific mutation by a selected restriction enzyme that will not cleave the wildtype DNA. In a study using a mixture of wildtype and mutation containing DNA amplified by regular PCR or COLD-PCR, COLD-PCR preceding RFLP analysis was shown to improve the mutation detection by 10-20 fold.
== As an infection agent == SeV replication occurs exclusively in the cytoplasm of the host cell. The virus is using its own RNA polymerase. One replication cycle takes approximately 12–15 hours with one cell yielding thousands of virions.
Sources: en.wikipedia.org
The peptide is glycyl-L-histidyl-L-lysine, a three-amino-acid sequence commonly abbreviated GHK. It binds a single copper(II) ion under typical laboratory conditions. The free peptide and the copper complex are separate chemical species with different properties.
The sequence was identified in human plasma in 1973. Early work examined its presence in blood and its proposed role in tissue repair. The copper-binding property was characterized afterward and became the focus of much later research.
The tripeptide has been measured in human plasma and other biological fluids. Whether it circulates mainly as the copper complex or as the free peptide remains an open question. Natural concentrations are low and difficult to measure reliably.
GHK-Cu is a complex of the tripeptide glycyl-L-histidyl-L-lysine with copper(II). The peptide coordinates the metal through its histidine imidazole, terminal amino group, and amide nitrogen. It is studied in biochemistry and dermatological research.