BTT-369
BTT-369 is a CaVα1·CaVβ3 protein-protein complex antagonist with a Ki of 2.0 μM. BTT-369 inhibits CaV2.2 currents, with an apparent IC50 value of 31 μM. BTT-369 disrupts the interaction between CaVα1 and CaVβ3 subunits. BTT-369 reduces the current density of CaV2.2, and shifts the voltage dependence of steady-state inactivation and activation of CaV2.2 to more positive potentials. BTT-369 alleviates mechanical hyperalgesia in a rat model of tibial nerve injury. BTT-369 can be used for the study of neuropathic pain.
For research use only. We do not sell to patients.
- CAS No.: 2413939-96-3
- Formula: C34H28N8O2
- Molecular Weight:580.64
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Storage:
Please store the product under the recommended conditions in the Certificate of Analysis.
All Calcium Channel Isoforms
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Biological Activity
Description
IC50 & Target
[1]|
CaV2.2 31 μM (IC50) |
In Vitro
BTT-369 potently inhibits the protein-protein interaction between purified CaVα1-AID and CaVβ3, with a Ki value of 2.0 μM[1].
BTT-369 (0.1-100 μM; 5 min-48 h) reduces CaV2.2 current density in HEK-CaV2.2 cells, and shifts the voltage dependence of CaV2.2 activation and steady-state inactivation toward more positive potentials[1].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only. Further protocols information, click here.
Parmacokinetics
In Vivo
Chemical Information
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CAS No. 2413939-96-3
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Molecular Weight 580.64
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Formula C34H28N8O2
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SMILES
O=C(C1=CC=CC(C2=NN=NN2)=C1)N3N=C(C4=CC=C(OC)C=C4)CC3C5=CN(C6=CC=CC=C6)N=C5C7=CC=C(C)C=C7
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Shipping
Room temperature in continental US; may vary elsewhere.
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Storage
Please store the product under the recommended conditions in the Certificate of Analysis.
Protocols
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Cell Cytotoxicity Assay
Cytotoxicity assays are usually based on the assessment of cell membrane damage, which can also be indirectly detected by measuring cell viability. Detection methods include MTT assay, CKK-8 assay, LDH assay and ATP assay, etc.
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Immunoprecipitation
Immunoprecipitation (IP) is an experimental method that uses the principle of antibody specific binding to purify and enrich target proteins.
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How to Select a Suitable Non-Mouse Animal Model
Selecting a suitable non-mouse animal model is a structured decision based on the research question, required anatomy or physiology, disease mechanism, endpoint feasibility, translational relevance, and ethical justification. Non-mouse models are preferred when mice cannot reproduce key human-relevant features, such as organ size, surgical anatomy, cardiovascular physiology, neuroanatomy, immune features, pharmacology, toxicology, or long-term clinical procedures. Candidate species may include rats, rabbits, guinea pigs, ferrets, zebrafish, pigs, sheep, goats, dogs, cats, horses, and non-human primates, but each species must be justified by its specific scientific advantage rather than convenience or tradition. Unresolved questions include how to quantify translational superiority across species, how to balance increased biological relevance against higher ethical burden, and when human-derived systems or new approach methodologies should replace animal use.
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Co-Immunoprecipitation
Co-immunoprecipitation technology can verify protein interaction based on the specific immune reaction between antibodies and antigens.
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How to Choose the Right Model Animal
Choosing the right model animal is a validity-driven decision in which the species, strain, sex, age, genetic background, disease-induction method, outcome measures, and welfare burden must match the scientific question rather than laboratory tradition or convenience. A model should be selected by judging face validity, construct validity, and predictive validity: whether it resembles the human phenotype, whether it reproduces relevant mechanisms, and whether results are likely to predict human biology or treatment response. Animal studies often fail to translate because of species differences, weak disease resemblance, poor experimental design, inadequate reporting, publication bias, and underuse of randomization, blinding, and sample-size justification. Unresolved questions include how to rank competing models objectively, how much human-disease complexity must be reproduced for a given objective, and when non-animal systems such as organoids, ex vivo tissue, or computational models
Purity & Documentation
References
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)