GHK-Cu (Copper Tripeptide) is a copper(II) complex of the naturally occurring tripeptide Gly–His–Lys (GHK), widely used in controlled in-vitro laboratory studies to investigate extracellular matrix (ECM) signalling, collagen synthesis pathways, and cell-surface interactions under non-clinical research conditions.
Through its ability to modulate copper-dependent biochemical interactions, GHK-Cu serves as a valuable research tool for studying cellular communication, tissue modelling, and molecular mechanisms involved in structural integrity and regeneration at the extracellular level.
Product name: GHK-Cu (Copper tripeptide)
Synonyms: Copper peptide; Cu-GHK; Tripeptide-1 copper; Prezatide copper
Peptide component (GHK) sequence: Gly–His–Lys
Complex formula (reference): C₁₄H₂₄CuN₆O₄
Approx. molecular weight (complex, reference): ~401–404 g/mol
(varies by counter-ion and hydration state)
CAS (commonly reported):
49557-75-7 (complex)
89030-95-5 (TFA salt)
Form: Lyophilised powder
Appearance: Blue to blue-green solid
Note: Identity and exact properties may vary depending on salt form, counter-ion, and hydration
All products are produced exclusively for controlled laboratory research and development applications.
Not for human or animal use.
🧪 Extracellular Matrix Signalling Studies
Investigation of cell–matrix communication
Analysis of ECM-mediated signalling pathways
⚗️ Collagen Pathway Research
Evaluation of collagen synthesis and regulation
Study of structural protein organisation
🧩 Cell-Surface Interaction Analysis
Exploration of peptide–cell surface binding mechanisms
Assessment of copper-dependent cellular responses
🔒 Peptide–Metal Complex Stability Testing
Assessment of complex integrity under experimental conditions
Evaluation of copper coordination stability
📦 Formulation & Compatibility Research
Compatibility testing with buffers and excipients
Evaluation of peptide–metal behaviour in research formulations
🧬 Cell-Based & Molecular Assays
Use in in-vitro cell culture systems
Support for mechanistic and translational research models
