Literature DB >> 17418915

QSAR study on a novel series of 8-azaadenine analogues proposed as A1 adenosine receptor antagonists.

Ilaria Massarelli1, Alessio Coi, Daniele Pietra, Fatena Ahmad Nofal, Giuliana Biagi, Irene Giorgi, Michele Leonardi, Francesca Fiamingo, Anna Maria Bianucci.   

Abstract

8-Azaadenines have been recently proposed as a novel promising class of adenosine A1 receptor antagonists. A QSAR study on 45 derivatives, synthesized in our laboratory as antagonists for A1 receptor, is described here. The use of the CODESSA program allowed obtaining a quite simple equation capable of correlating the structural features of these ligands to their activity toward A1 receptor. The model was investigated for reliability and stability by using statistical analysis criteria stricter than usual. Particular care was put in defining the chemical space where the model gave reliable predictions. The model allowed the identification of relevant structural features required for the interaction with the A1 receptor, enabling the prediction of activity of molecules belonging to focused virtual libraries.

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Year:  2007        PMID: 17418915     DOI: 10.1016/j.ejmech.2007.02.009

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  2 in total

1.  Limits of ligand selectivity from docking to models: in silico screening for A(1) adenosine receptor antagonists.

Authors:  Peter Kolb; Khai Phan; Zhan-Guo Gao; Adam C Marko; Andrej Sali; Kenneth A Jacobson
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

2.  Design of cinnamaldehyde amino acid Schiff base compounds based on the quantitative structure-activity relationship.

Authors:  Hui Wang; Mingyue Jiang; Shujun Li; Chung-Yun Hse; Chunde Jin; Fangli Sun; Zhuo Li
Journal:  R Soc Open Sci       Date:  2017-09-06       Impact factor: 2.963

  2 in total

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