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105121-93-5

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105121-93-5 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 105121-93-5 includes 9 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 6 digits, 1,0,5,1,2 and 1 respectively; the second part has 2 digits, 9 and 3 respectively.
Calculate Digit Verification of CAS Registry Number 105121-93:
(8*1)+(7*0)+(6*5)+(5*1)+(4*2)+(3*1)+(2*9)+(1*3)=75
75 % 10 = 5
So 105121-93-5 is a valid CAS Registry Number.

105121-93-5Upstream product

105121-93-5Downstream Products

105121-93-5Relevant articles and documents

Complementary DNA cloning, functional expression and characterization of a novel cytochrome P450, CYP2D50, from equine liver

Knych, H.K. DiMaio,Stanley

, p. 904 - 911 (2008)

Members of the CYP2D family constitute only about 2-4% of total hepatic CYP450s, however, they are responsible for the metabolism of 20-25% of commonly prescribed therapeutic compounds. CYP2D enzymes have been identified in a number of different species. However, vast differences in the metabolic activity of these enzymes have been well documented. In the horse, the presence of a member of the CYP2D family has been suggested from studies with equine liver microsomes, however its presence has not been definitively proven. In this study a cDNA encoding a novel CYP2D enzyme (CYP2D50) was cloned from equine liver and expressed in a baculovirus expression system. The nucleotide sequence of CYP2D50 was highly homologous to that of human CYP2D6 and therefore the activity of the enzyme was characterized using dextromethorphan and debrisoquine, two isoform selective substrates for the human orthologue. CYP2D50 displayed optimal catalytic activity with dextromethorphan using molar ratios of CYP2D50 to NADPH CYP450 reductase of 1:15. Although CYP2D50 and CYP2D6 shared significant sequence homology, there were striking differences in the catalytic activity between the two enzymes. CYP2D50 dextromethorphan-O-demethylase activity was nearly 180-fold slower than the human counterpart, CYP2D6. Similarly, rates of formation of 4-hydroxydebrisoquine activity were 50-fold slower for CYP2D50 compared to CYP2D6. The results of this study demonstrate substantial interspecies variability in metabolism of substrates by CYP2D orthologues in the horse and human and support the need to fully characterize this enzyme system in equids.

Identification of human cytochrome P450s that metabolise anti-parasitic drugs and predictions of in vivo drug hepatic clearance from in vitro data

Li, Xue-Qing,Bjoerkman, Anders,Andersson, Tommy B.,Gustafsson, Lars L.,Masimirembwa, Collen

, p. 429 - 442 (2007/10/03)

Objective: Knowledge about the metabolism of anti-parasitic drugs (APDs) will be helpful in ongoing efforts to optimise dosage recommendations in clinical practise. This study was performed to further identify the cytochrome P450 (CYP) enzymes that metabolise major APDs and evaluate the possibility of predicting in vivo drug clearances from in vitro data. Methods: In vitro systems, rat and human liver microsomes (RLM, HLM) and recombinant cytochrome P450 (rCYP), were used to determine the intrinsic clearance (CLint) and identify responsible CYPs and their relative contribution in the metabolism of 15 commonly used APDs. Results and discussion: CLint determined in RLM and HLM showed low (r2=0.50) but significant (Pint values were scaled to predict in vivo hepatic clearance (CLH) using the 'venous equilibrium model'. The number of compounds with in vivo human CL data after intravenous administration was low (n=8), and the range of CL values covered by these compounds was not appropriate for a reasonable quantitative in vitro-in vivo correlation analysis. Using the CLH predicted from the in vitro data, the compounds could be classified into three different categories: high-clearance drugs (> 70% liver blood flow; amodiaquine, praziquantel, albendazole, thiabendazole), low-clearance drugs (int drug categories. The identified CYPs for some of the drugs provide a basis for how these drugs are expected to behave pharmacokinetically and help in predicting drug-drug interactions in vivo.

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