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F9926

Sigma-Aldrich

FIM-1

≥99% purity (TLC), powder

Synonym(s):

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

Empirical Formula (Hill Notation):
C45H31N4O8
CAS Number:
Molecular Weight:
755.75
MDL number:
UNSPSC Code:
12171500
PubChem Substance ID:
NACRES:
NA.47

product name

FIM-1,

Assay

≥99% (TLC)

Quality Level

form

powder

color

red

solubility

DMSO or DMF: soluble

εmax

81.8 at 486 nm in methanol

application(s)

diagnostic assay manufacturing
hematology
histology

shipped in

dry ice

storage temp.

−20°C

SMILES string

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

Biochem/physiol Actions

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.

Storage Class Code

11 - Combustible Solids

WGK

WGK 3

Flash Point(F)

Not applicable

Flash Point(C)

Not applicable

Personal Protective Equipment

dust mask type N95 (US), Eyeshields, Gloves

Certificates of Analysis (COA)

Search for Certificates of Analysis (COA) by entering the products Lot/Batch Number. Lot and Batch Numbers can be found on a product’s label following the words ‘Lot’ or ‘Batch’.

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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
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

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