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Merck
CN

F9926

Sigma-Aldrich

FIM-1

≥99% purity (TLC), powder

别名:

N-[3-(3-[2,5-Dihydro-4-(1-methyl-1H-indol-3-yl)-2,5-dioxo-1H-pyrrol-3-yl]-1H-indol-1-yl)propyl]-3′,6′-dihydroxy-3-oxospiro[isobenzofuran-1[3H],9′-[9H]xanthene]-5-carboxamide

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关于此项目

经验公式（希尔记法）:
C45H31N4O8
化学文摘社编号:
220518-50-3
分子量:
755.75
MDL编号:
MFCD03453075
UNSPSC代码:
12171500
PubChem化学物质编号:
329799791
NACRES:
NA.47

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产品名称

FIM-1,

方案

≥99% (TLC)

质量水平

200

表单

powder

颜色

red

溶解性

DMSO or DMF: soluble

εmax

81.8 at 486 nm in methanol

应用

diagnostic assay manufacturing
hematology
histology

运输

dry ice

储存温度

−20°C

SMILES字符串

Cn1c(cc2ccccc12)C3=C(C(=O)NC3=O)c4cn(CCCNC(=O)c5ccc6c(c5)C(=O)OC67c8ccc(O)cc8Oc9cc(O)ccc79)c%10ccccc4%10

InChI

1S/C45H32N4O8/c1-48-34-9-4-2-7-24(34)20-36(48)40-39(42(53)47-43(40)54)30-23-49(35-10-5-3-8-28(30)35)18-6-17-46-41(52)25-11-14-31-29(19-25)44(55)57-45(31)32-15-12-26(50)21-37(32)56-38-22-27(51)13-16-33(38)45/h2-5,7-16,19-23,50-51H,6,17-18H2,1H3,(H,46,52)(H,47,53,54)

InChI key

WZJAWTNAOLZZOO-UHFFFAOYSA-N

相关类别

生化/生理作用

A fluorescent conjugate of bisindolylmaleimide that specifically binds phosphokinase C at the active site. Can monitor enzyme activation and translocation. This reagent is not membrane permeable. The diacetate form (Sigma No. F9801) is membrane permeable.

储存分类代码

11 - Combustible Solids

WGK

WGK 3

闪点(°F)

Not applicable

闪点(°C)

Not applicable

个人防护装备

Eyeshields, Gloves, type N95 (US)

法规信息

新产品
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历史批次信息供参考:

分析证书(COA)

Lot/Batch Number
086K1457
071K1690
103K1455

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Maria Rodriguez-Fernandez et al.
BMC bioinformatics, 7, 483-483 (2006-11-04)
We consider the problem of parameter estimation (model calibration) in nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and multi-modality of many of these problems, traditional local methods usually fail (unless initialized with very good guesses of
Meysam Hashemi et al.
Neuroinformatics, 16(2), 231-251 (2018-03-09)
Mathematical modeling is a powerful tool that enables researchers to describe the experimentally observed dynamics of complex systems. Starting with a robust model including model parameters, it is necessary to choose an appropriate set of model parameters to reproduce experimental
Hossein Jashnsaz et al.
iScience, 23(10), 101565-101565 (2020-10-22)
Computationally understanding the molecular mechanisms that give rise to cell signaling responses upon different environmental, chemical, and genetic perturbations is a long-standing challenge that requires models that fit and predict quantitative responses for new biological conditions. Overcoming this challenge depends

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