Pyrazine CH- and NH-acids. Antithrombotic activity and chromatographic behaviour-Reference-Cited by-同舟云学术

Pyrazine CH- and NH-acids. Antithrombotic activity and chromatographic behaviour

Published:1993-01 Issue:1 Volume:24 Page:17-22
ISSN:0306-3623
Container-title:General Pharmacology: The Vascular System
language:en
Short-container-title:General Pharmacology: The Vascular System

Author:

Petrusewicz Jacek,Gami-Yilinkou Rene,Kaliszan Roman,Pilarski Boguslaw,Foks Henryk

Publisher

Elsevier BV

Subject

Pharmacology

Reference20 articles.

1. Determination of hydrophobic parameters by reversed-phase liquid chromatography: theory, experimental techniques and application in studies on quantitative structure-activity relationships;Braumann;J. Chromatogr.,1986

2. Mouse antithrombotic assay A simple method for the evaluation of antitrombotic agents in vivo;DiMinno;J. Pharmac. exp. Ther.,1983

3. Application of chromatographic data for the determination of hydrophobicity and pharmacological activity of drugs;Gami-Yilinkou,1991

4. Chromatographic data for pharmacological classification of imidazol(in)e drugs;Gami-Yilinkou;J. Chromatogr.,1991

5. The effects of tetramethylpyrazine on the human platelet alpha2 adrenergic receptor adenylate cyclase system;Hui;Res. Commun. Chem. Path. Pharmac.,1987

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