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Cephaeline hydrochloride


  • Brand : BIOFRON

  • Catalogue Number : BN-O1463

  • Specification : 98%(HPLC)

  • CAS number : 3738-70-3

  • Formula : C28H40Cl2N2O4

  • Molecular Weight : 539.538

  • PUBCHEM ID : 23615629

  • Volume : 10mg

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Catalogue Number


Analysis Method






Molecular Weight



White to off-white powder

Botanical Source

Structure Type


Standards;Natural Pytochemical;API




10,11,7'-Trimethoxy-emetan-6'-ol,Hydrochlorid/AC1NUT82/(2R,3R,11bS)-(+)-2-(3,4-dihydro-6-hydroxy-7-methoxy-1-isoquinolyl)methyl-3-ethyl-1,3,4,6,7,11b-hexahydro-8-hydroxy-9,10-dimethoxy-2H-benzo[a]quinolizine (alangicine)/Alangicine/7',10,11-Trimethoxyemetan-6'-ol dihydrochloride/2-(6-hydroxy-7-methoxy-3,4-dihydro-isoquinolin-1-ylmethyl)-3-ethyl-9,10-dimethoxy-1,3,4,6,7,11b-hexahydro-2H-pyrido[2,1-a]isoquinolin-8-ol/Cephaeline dihydrochloride/10,11,7'-trimethoxy-emet-1'-ene-9,6'-diol/Emetan-6'-ol, 7',10,11-trimethoxy-, dihydrochloride (9CI)/10,11,7'-trimethoxy-emetan-6'-ol,dihydrochloride/(2R,3R,11bS)-3-ethyl-2-(6-hydroxy-7-methoxy-3,4-dihydroisoquinolin-1-ylmethyl)-9,10-dimethoxy-1,3,4,6,7,11b-hexahydro-2H-pyrido[2,1-a]isoquinolin-8-ol/6-Isoquinolinol, 1-[[(2S,3R,11bS)-3-ethyl-1,3,4,6,7,11b-hexahydro-9,10-dimethoxy-2H-benzo[a]quinolizin-2-yl]methyl]-1,2,3,4-tetrahydro-7-methoxy-, (1R)-, hydrochloride (1:2)/10,11,7'-Trimethoxy-emetan-6'-ol,Dihydrochlorid/Emetan-6'-ol, 7',10,11-trimethoxy-, dihydrochloride





Soluble in Chloroform,Dichloromethane,Ethyl Acetate,DMSO,Acetone,etc.

Flash Point

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InChl Key


WGK Germany


HS Code Reference


Personal Projective Equipment

Correct Usage

For Reference Standard and R&D, Not for Human Use Directly.

Meta Tag

provides coniferyl ferulate(CAS#:3738-70-3) MSDS, density, melting point, boiling point, structure, formula, molecular weight etc. Articles of coniferyl ferulate are included as well.>> amp version: coniferyl ferulate

No Technical Documents Available For This Product.




Computational models of reward processing suggest that foregone or fictive outcomes serve as important information sources for learning and augment those generated by experienced rewards (e.g. reward prediction errors). An outstanding question is how these learning signals interact with top-down cognitive influences, such as cognitive reappraisal strategies. Using a sequential investment task and functional magnetic resonance imaging, we show that the reappraisal strategy selectively attenuates the influence of fictive, but not reward prediction error signals on investment behavior; such behavioral effect is accompanied by changes in neural activity and connectivity in the anterior insular cortex, a brain region thought to integrate subjective feelings with high-order cognition. Furthermore, individuals differ in the extent to which their behaviors are driven by fictive errors versus reward prediction errors, and the reappraisal strategy interacts with such individual differences; a finding also accompanied by distinct underlying neural mechanisms. These findings suggest that the variable interaction of cognitive strategies with two important classes of computational learning signals (fictive, reward prediction error) represent one contributing substrate for the variable capacity of individuals to control their behavior based on foregone rewards. These findings also expose important possibilities for understanding the lack of control in addiction based on possibly foregone rewarding outcomes. Hum Brain Mapp 35:3738-3749, 2014.


decision-making, reward prediction errors, fictive learning, emotion regulation, reappraisal, insula, fMRI


Cognitive Strategies Regulate Fictive, but not Reward Prediction Error Signals in a Sequential Investment Task


Xiaosi Gu,1,2 Ulrich Kirk,3 Terry M Lohrenz,2 and P Read Montague1,2,4,*

Publish date

2014 Aug




The pilin genes of two Pseudomonas aeruginosa strains isolated from two different patients with cystic fibrosis were cloned and sequenced. The predicted protein sequences of these two pilins had several unusual features compared with other published P. aeruginosa pilin sequences.


Two unusual pilin sequences from different isolates of Pseudomonas aeruginosa.


B L Pasloske, P A Sastry, B B Finlay, W Paranchych

Publish date

1988 Aug;




We have determined the complete nucleotide sequence of the VP4 gene of porcine rotavirus YM. It is 2,362 nucleotides long, with a single open reading frame coding for a protein of 776 amino acids. A phylogenetic tree was derived from the deduced YM VP4 amino acid sequence and 18 other available VP4 sequences of rotavirus strains belonging to different serotypes and isolated from different animal species. In this tree, VP4 proteins were grouped by the hosts that the corresponding viruses infect rather than by the serotypes they belong to, suggesting that this protein is involved in the host specificity of the viruses. In an attempt to predict the secondary structure of the VP4 protein, we selected the more divergent VP4 sequences and made a secondary structure analysis of each protein. In spite of variations within the individual structures predicted, there was a general structural pattern which suggested the existence of at least two different domains. One, comprising the amino-terminal 63% of the protein, is predicted to be a possible globular domain rich in beta-strands alternated with turns and coils. The second domain, represented by the remaining, carboxy-terminal part of VP4, is rich in long stretches of alpha-helix, one of which, 63 amino acids long, has heptad repeats resembling those found in proteins known to form alpha-helical coiled-coils. The predicted secondary structure correlates well with the available data on the protein accessibility delineated by immunological and biochemical findings and with the spike structure of the protein, which has been determined by cryoelectron microscopy.


Rotavirus YM gene 4: analysis of its deduced amino acid sequence and prediction of the secondary structure of the VP4 protein.


S Lopez, I Lopez, P Romero, E Mendez, X Soberon, C F Arias

Publish date

1991 Jul;

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