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About This Item
Empirical Formula (Hill Notation):
C31H32N4O6
CAS Number:
Molecular Weight:
556.61
UNSPSC Code:
12352200
NACRES:
NA.77
MDL number:
assay
≥95% (HPLC)
form
powder
storage condition
desiccated
color
white to beige
solubility
DMSO: 2 mg/mL, clear
storage temp.
-10 to -25°C
Quality Level
Biochem/physiol Actions
Highly potent DNA cross-linking agent that binds in the minor groove of DNA.
SJG-136 is a highly potent DNA cross-linking agent that binds in the minor groove of DNA. SJG-136 exhibits potent anticancer activity in numerous cancer cell lines and in vivo. It exhibits significant inhibitory effect against Src activity.
SJG-136 is a highly potent DNA cross-linking agent that binds in the minor groove of DNA. SJG-136 exhibits potent anticancer activity in numerous cancer cell lines and in vivo. It exhibits significant inhibitory effect against Src activity.
Disclaimer
Hygroscopic
Storage Class
11 - Combustible Solids
wgk
WGK 3
flash_point_f
Not applicable
flash_point_c
Not applicable
Regulatory Information
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Julia Mantaj et al.
Angewandte Chemie (International ed. in English), 56(2), 462-488 (2016-11-20)
The pyrrolo[2,1-c][1,4]benzodiazepines (PBDs) are a family of sequence-selective DNA minor-groove binding agents that form a covalent aminal bond between their C11-position and the C2-NH2 groups of guanine bases. The first example of a PBD monomer, the natural product anthramycin, was
John A Hartley et al.
Cancer research, 64(18), 6693-6699 (2004-09-18)
SJG-136 (NSC 694501) is a rationally designed pyrrolobenzodiazepine dimer that binds in the minor groove of DNA. It spans 6 bp with a preference for binding to purine-GATC-pyrimidine sequences. The agent has potent activity in the National Cancer Institute (NCI)
Chia-Wei Weng et al.
American journal of cancer research, 10(6), 1668-1690 (2020-07-10)
Aberrant elevated Src activity is related to lung cancer growth and metastasis. Therefore, the development of potent small molecule inhibitors to target Src kinase is a potential therapeutic strategy for lung cancer. This study aimed to develop a computational model
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