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Merck

C7938

Sigma-Aldrich

2-Chloro-N6-cyclopentyladenosine

adenosine receptor agonist

Sinónimos:

CCPA

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About This Item

Fórmula empírica (notación de Hill):
C15H20ClN5O4
Número de CAS:
Peso molecular:
369.80
MDL number:
UNSPSC Code:
41106305
PubChem Substance ID:
NACRES:
NA.51

Quality Level

assay

≥98% (TLC)

form

powder

solubility

methanol: 19.60-20.40 mg/mL, clear, colorless to faintly yellow

storage temp.

2-8°C

SMILES string

OC[C@H]1O[C@H]([C@H](O)[C@@H]1O)n2cnc3c(NC4CCCC4)nc(Cl)nc23

InChI

1S/C15H20ClN5O4/c16-15-19-12(18-7-3-1-2-4-7)9-13(20-15)21(6-17-9)14-11(24)10(23)8(5-22)25-14/h6-8,10-11,14,22-24H,1-5H2,(H,18,19,20)/t8-,10-,11-,14-/m1/s1

InChI key

XSMYYYQVWPZWIZ-IDTAVKCVSA-N

Application

2-Chloro-N6-cyclopentyladenosine (CCPA) may be used as an A1 adenosine receptor agonist with high selectivity. CCPA is often used with other adenosine receptor agonists and antagonist to resolve A(1), A(2A) and A(3) receptor functions. These include DPCPX (A(1) receptor antagonist), 4-(2-[7-amino-2-(2-furyl)[1,2,4]triazolo[2,3-α][1,3,5]triazin-5-ylamino]ethyl)phenol (A(2A) receptor antagonist), and 4-[2-[[6-amino-9-(N-ethyl-β-D-ribofuranuronamidosyl)-9H-purin-2-yl]amino]ethyl]benzenepropanoic acid hydrochloride (A(2A) receptor agonist), and Cl-IB-MECA, (A(3)) receptor agonist).

Biochem/physiol Actions

A1 adenosine receptor agonist with high selectivity: reportedly 10,000-fold for A1 over A2 receptors.

Storage Class

11 - Combustible Solids

wgk_germany

WGK 3

flash_point_f

Not applicable

flash_point_c

Not applicable

ppe

Eyeshields, Gloves, type N95 (US)


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N L D Smith et al.
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 20(8), O480-O488 (2013-11-28)
Chronic cavitary pulmonary aspergillosis (CCPA) is a progressive lung condition with a 10-30% annual mortality. Although overtly immunocompetent, some immunogenetic defect in patients is likely. To investigate a possible immunogenetic defect in CCPA, we analysed biologically plausible candidate genes in
Iftikhar Ahmad et al.
Scientific reports, 10(1), 364-364 (2020-01-17)
Real world complex networks are indirect representation of complex systems. They grow over time. These networks are fragmented and raucous in practice. An important concern about complex network is link prediction. Link prediction aims to determine the possibility of probable
Romeo Romagnoli et al.
Journal of medicinal chemistry, 51(18), 5875-5879 (2008-08-30)
The synthesis and evaluation of a series of 2-amino-3-(4-chlorobenzoyl)-4-[4-(alkyl/aryl)piperazin-yl]thiophene derivatives as allosteric enhancers of the A 1-adenosine receptor are described. The nature of substituents on the phenyl ring tethered to the piperazine seem to exert a fundamental influence on the
Ruzanna Shkhyan et al.
Journal of molecular medicine (Berlin, Germany), 96(10), 1049-1060 (2018-08-09)
Osteoarthritis (OA), the most common form of arthritis, is characterized by inflammation of joints and cartilage degradation leading to disability, discomfort, severe pain, inflammation, and stiffness of the joint. It has been shown that adenosine, a purine nucleoside composed of
Mary Clare Luca et al.
Clinical hemorheology and microcirculation, 49(1-4), 287-293 (2012-01-05)
Despite decades of research and thousands of experimental publications, acute preconditioning strategies have yet to be implemented in clinical practice. While some have attributed this to a failure of the experimental studies to mimic the clinical environment, others have suggested

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