DPN (Standard)
DPN (Standard) is the analytical standard of DPN. This product is intended for research and analytical applications. DPN (Diarylpropionitrile) is a non-steroidal estrogen receptor β (ERβ) selective ligand, with an EC50 of 0.85 nM. DPN has neuroprotective effects in a number of neurological diseases.
연구목적의 판매만을 진행합니다. 환자를 대상으로 한 판매는 하지 않습니다.
- CAS No.: 1428-67-7
- 화학식: C15H13NO2
- 분자량:239.27
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보관:
Please store the product under the recommended conditions in the Certificate of Analysis.
Product Information
The compound is the grade of analytical standard, which is the reference standard supplied assay. It is commonly used in qualitative, quantitative and methodological research experiments in HPLC, GC and MS.
Chemical Information
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CAS No. 1428-67-7
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분자량 239.27
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화학식 C15H13NO2
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SMILES
OC1=CC=C(CC(C#N)C2=CC=C(O)C=C2)C=C1
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Synonyms
Diarylpropionitrile (Standard)
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선적
Room temperature in continental US; may vary elsewhere.
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보관
Please store the product under the recommended conditions in the Certificate of Analysis.
순도&문서
References
[1]. Meyers, M. J., et al. Estrogen Receptor-β Potency-Selective Ligands: Structure−Activity Relationship Studies of Diarylpropionitriles and Their Acetylene and Polar Analogues. Journal of Medicinal Chemistry, 2001. 44(24), 4230–4251. [Content Brief]
[2]. Suwanna N, et al. Neuroprotective effects of diarylpropionitrile against β-amyloid peptide-induced neurotoxicity in rat cultured cortical neurons. Neurosci Lett. 2014 Aug 22;578:44-9. [Content Brief]
[3]. Fuzhong Yang, et al. Physiological dosages of estradiol and diarylpropionitrile decrease depressive behavior and increase tryptophan hydroxylase expression in the dorsal raphe nucleus of rats subjected to the forced swim test. Neuroreport. 2019 Jan 16;30(2):66-70. [Content Brief]
[4]. Sherry A. Said, et al. Effects of long-term dietary administration of estrogen receptor-beta agonist diarylpropionitrile on ovariectomized female ICR (CD-1) mice. GeroScience. 2018 Aug; 40(4): 393–403. [Content Brief]
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)