Wuhan Hhd Pharm Febrifugine CAS 24159 -07-7 Purity 98% HPLC Nmr COA Factory Supply

China Wuhan Hhd Pharm Febrifugine CAS 24159-07-7 Purity 98% HPLC Nmr COA Factory Supply, Find details about China Febrifugine, CAS 24159-07-7 from Wuhan Hhd Pharm Febrifugine CAS 24159-07-7 Purity 98% HPLC Nmr COA Factory Supply

Basic Info.

Appearance

Solid

Trademark

HENGHEDA

Transport Package

Aluminum Foil Bag

Specification

100G/BAG 1KG/BAG

Origin

China

HS Code

2932999099

Appearance

Solid

Trademark

HENGHEDA

Transport Package

Aluminum Foil Bag

Specification

100G/BAG 1KG/BAG

Origin

China

HS Code

2932999099

Product Desciption

Product Name:	Febrifugine
Description:	Febrifugine is an effective coccidiostat, possesses schizonticide props; it and its derivatives shows high degree of antimalarial activity but use limited by toxicity .
CAS:	24159-07-7
Source:	The roots of Dichroa febrifuga
Solvent:	Chloroform, Dichloromethane, Ethyl Acetate, DMSO, Acetone, etc.

Calculate Dilution Ratios(Only for Reference)

	1 mg	5 mg	10 mg	20 mg	25 mg
1 mM	3.319 mL	16.5948 mL	33.1895 mL	66.379 mL	82.9738 mL
5 mM	0.6638 mL	3.319 mL	6.6379 mL	13.2758 mL	16.5948 mL
10 mM	0.3319 mL	1.6595 mL	3.319 mL	6.6379 mL	8.2974 mL
50 mM	0.0664 mL	0.3319 mL	0.6638 mL	1.3276 mL	1.6595 mL
100 mM	0.0332 mL	0.1659 mL	0.3319 mL	0.6638 mL	0.8297 mL

* Note: If you are in the process of experiment, it's need to make the dilution ratios of the samples. The dilution data of the sheet for your reference. Normally, it's can get a better solubility within lower of Concentrations.

Protocol

Structure Identification:

J Adv Pharm Technol Res. 2013 Jan;4(1):50-60.

Pharmacophore modeling and 3D quantitative structure-activity relationship analysis of febrifugine analogues as potent antimalarial agent.[Pubmed: 23662282]

Febrifugine and its derivatives are effective against Plasmodium falciparum.
METHODS AND RESULTS:
Using PHASE algorithm, a five-point pharmacophore model with two hydrogen bond acceptor (A), one positively ionizable (P) and two aromatic rings (R), was developed to derive a predictive ligand-based statistically significant 3D-quantitative structure-activity relationship (QSAR) model (r(2) = 0.972, SD = 0.3, F = 173.4, Q(2) = 0.712, RMSE = 0.3, Person-R = 0.94, and r(2) pred = 0.8) to explicate the structural attributes crucial for antimalarial activity.
CONCLUSIONS:
The developed pharmacophore model and 3D QSAR model can be a substantial tool for virtual screening and related antimalarial drug discovery research.