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About This Item
Linear Formula:
(C6H5)3CONH2
CAS Number:
Molecular Weight:
275.34
UNSPSC Code:
12352100
NACRES:
NA.22
PubChem Substance ID:
EC Number:
250-868-1
Beilstein/REAXYS Number:
1983917
MDL number:
Product Name
O-Tritylhydroxylamine, 95%
InChI key
NZFHJBSDSXDUAO-UHFFFAOYSA-N
InChI
1S/C19H17NO/c20-21-19(16-10-4-1-5-11-16,17-12-6-2-7-13-17)18-14-8-3-9-15-18/h1-15H,20H2
SMILES string
NOC(c1ccccc1)(c2ccccc2)c3ccccc3
assay
95%
mp
79-81 °C (lit.)
functional group
phenyl
Quality Level
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Related Categories
Application
O-Tritylhydroxylamine may be used in the preparation of 8-azido-O-trityloctahydroxamate and 9-azido-O-tritylnonahydroxamate. It may be used in the synthesis of Simian virus nuclear localization peptide (NLS)-histone deacetylase (HDAC) inhibitor conjugates.
signalword
Warning
hcodes
Hazard Classifications
Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3
target_organs
Respiratory system
Storage Class
11 - Combustible Solids
wgk
WGK 3
flash_point_f
Not applicable
flash_point_c
Not applicable
ppe
dust mask type N95 (US), Eyeshields, Gloves
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Vishal Patil et al.
Bioorganic & medicinal chemistry, 18(1), 415-425 (2009-11-17)
Histone deacetylase inhibitors (HDACi) are endowed with plethora of biological functions including anti-proliferative, anti-inflammatory, anti-parasitic, and cognition-enhancing activities. Parsing the structure-activity relationship (SAR) for each disease condition is vital for long-term therapeutic applications of HDACi. We report in the present
Joshua C Canzoneri et al.
Bioorganic & medicinal chemistry letters, 19(23), 6588-6590 (2009-10-27)
We describe herein the synthesis and characterization of a new class of histone deacetylase (HDAC) inhibitors derived from conjugation of a suberoylanilide hydroxamic acid-like aliphatic-hydroxamate pharmacophore to a nuclear localization signal peptide. We found that these conjugates inhibited the histone
Francisco J Prado-Prado et al.
Bioorganic & medicinal chemistry, 18(6), 2225-2231 (2010-02-27)
There are many of pathogen parasite species with different susceptibility profile to antiparasitic drugs. Unfortunately, almost QSAR models predict the biological activity of drugs against only one parasite species. Consequently, predicting the probability with which a drug is active against
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