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Merck
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文件

F9926

Sigma-Aldrich

FIM-1

≥99% purity (TLC), powder

同義詞:

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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About This Item

經驗公式(希爾表示法):
C45H31N4O8
CAS號碼:
分子量::
755.75
MDL號碼:
分類程式碼代碼:
12171500
PubChem物質ID:
NACRES:
NA.47

product name

FIM-1,

化驗

≥99% (TLC)

品質等級

形狀

powder

顏色

red

溶解度

DMSO or DMF: soluble

εmax

81.8 at 486 nm in methanol

應用

diagnostic assay manufacturing
hematology
histology

運輸包裝

dry ice

儲存溫度

−20°C

SMILES 字串

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 密鑰

WZJAWTNAOLZZOO-UHFFFAOYSA-N

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.

儲存類別代碼

11 - Combustible Solids

水污染物質分類(WGK)

WGK 3

閃點(°F)

Not applicable

閃點(°C)

Not applicable

個人防護裝備

Eyeshields, Gloves, type N95 (US)


分析證明 (COA)

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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
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
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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