THIP
CAS No. 64603-91-4
THIP( Gaboxadol | Gaboxadolum )
Catalog No. M26482 CAS No. 64603-91-4
THIP has a strong affinity for the δ subunit of GABAA receptors. THIP is a functionally selective GABAAR ligand, agonistic to α4β1δ, α4β3δ, and weakly antagonistic to αβγ and α4β2δ GABAARs.
Purity : >98% (HPLC)
COA
Datasheet
HNMR
HPLC
MSDS
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Biological Information
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Product NameTHIP
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NoteResearch use only, not for human use.
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Brief DescriptionTHIP has a strong affinity for the δ subunit of GABAA receptors. THIP is a functionally selective GABAAR ligand, agonistic to α4β1δ, α4β3δ, and weakly antagonistic to αβγ and α4β2δ GABAARs.
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DescriptionTHIP has a strong affinity for the δ subunit of GABAA receptors. THIP is a functionally selective GABAAR ligand, agonistic to α4β1δ, α4β3δ, and weakly antagonistic to αβγ and α4β2δ GABAARs.
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In VitroTHIP (1 μM; 5 s) induces a robust tonic GABAA-mediated current in layer 2/3 neurons.THIP (1 μM; 1 s) shows no affect miniature IPSCs in layer 2/3 neurons.Cell Viability Assay Cell Line:Layer 2/3 neurons (from male postnatal day 13-19 C57BL/6 mice)Concentration:1 μM Incubation Time:5 s Result:Induced a tonic current of 43.2 pA.Cell Viability Assay Cell Line:Layer 2/3 neurons (from male postnatal day 13-19 C57BL/6 mice)Concentration:1 μM Incubation Time:1 s Result:Resulted in only minor changes in the amplitude and frequency of mIPSCs.
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In VivoTHIP (Gaboxadol) (0.5, 5.0 mg/kg; p.o.; single) shws a good oral utilization, with Fa values of 110% and 83% for dosage of 0.5 and 5.0 mg/kg, respectively. Animal Model:Sprague-Dawley rats (255-276 g).Dosage:2.5 mg/kg (for i.v.); 0.5 and 5.0 mg/kg (for p.o.).
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SynonymsGaboxadol | Gaboxadolum
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PathwayOthers
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TargetOther Targets
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RecptorPPARγ
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Research Area——
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Indication——
Chemical Information
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CAS Number64603-91-4
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Formula Weight140.142
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Molecular FormulaC6H8N2O2
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Purity>98% (HPLC)
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SolubilityIn Vitro:?DMSO : 50 mg/mL (356.79 mM)
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SMILESOc1noc2CNCCc12
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Chemical Name——
Shipping & Storage Information
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Storage(-20℃)
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ShippingWith Ice Pack
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Stability≥ 2 years
Reference
1.Rasmus K Petersen, et al. Pharmacophore-driven identification of PPARγ agonists from natural sources. J Comput Aided Mol Des. 2011 Feb;25(2):107-16.
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