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重要文件

481981

Sigma-Aldrich

Nifedipine

Relatively selective blocker of L-type Ca2+ channels.

同義詞:

Nifedipine, L-Type Calcium Channel Blocker III

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About This Item

經驗公式(希爾表示法):
C17H18N2O6
CAS號碼:
分子量::
346.33
MDL號碼:
分類程式碼代碼:
12352200
NACRES:
NA.77

描述

Merck USA index - 14, 6528

品質等級

化驗

≥98% (UV)

形狀

solid

製造商/商標名

Calbiochem®

儲存條件

OK to freeze
protect from light

顏色

yellow

溶解度

DMSO: soluble
ethanol: soluble

運輸包裝

ambient

儲存溫度

10-30°C

SMILES 字串

[N+](=O)([O-])c1c(cccc1)C2C(=C(NC(=C2C(=O)OC)C)C)C(=O)OC

InChI

1S/C17H18N2O6/c1-9-13(16(20)24-3)15(14(10(2)18-9)17(21)25-4)11-7-5-6-8-12(11)19(22)23/h5-8,15,18H,1-4H3

InChI 密鑰

HYIMSNHJOBLJNT-UHFFFAOYSA-N

一般說明

Relatively selective blocker of L-type Ca2+ channels. One of the most extensively studied blockers of 1,4-dihydropyridine-type Ca2+ channels, and a pharmacologically-useful vasodilator. Induces apoptosis in human glioblastoma cells.

生化/生理作用

Cell permeable: no
Primary Target
L-type Ca2+ channels
Product does not compete with ATP.
Reversible: no

警告

Toxicity: Harmful & Carcinogenic / Teratogenic (E)

重構

Following reconstitution, refrigerate (-20°C). Stock solutions are stable for up to 3 months at -20°C.

其他說明

Reid, K., et al. 1997. J. Pharmacol. Exp. Ther. 283, 993.
Kondo, S., et al. 1995. J. Neurosurg.82, 469.
Antkiewicz-Michaluk, L., et al. 1994. Eur. J. Pharmacol. 254, 9.
Calabresi, P., et al. 1994. J. Neurosci. 14, 4871.
Akman, M.S., et al. 1993. Endocrinology132, 1286.
Cirillo, M., et al. 1993. Circ. Res.72, 847.
Young, R.J., et al. 1993. Biochim. Biophys. Acta1146, 81.
Janis, R., et al. 1987. Adv. Drug Res.16, 311.

法律資訊

CALBIOCHEM is a registered trademark of Merck KGaA, Darmstadt, Germany

象形圖

Exclamation mark

訊號詞

Warning

危險聲明

危險分類

Acute Tox. 4 Oral

儲存類別代碼

11 - Combustible Solids

水污染物質分類(WGK)

WGK 1

閃點(°F)

Not applicable

閃點(°C)

Not applicable


分析證明 (COA)

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Mark R Davies et al.
Cell reports. Medicine, 1(5), 100076-100076 (2020-11-19)
There is an increasing expectation that computational approaches may supplement existing human decision-making. Frontloading of models for cardiac safety prediction is no exception to this trend, and ongoing regulatory initiatives propose use of high-throughput in vitro data combined with computational models

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