| Literature DB >> 26205409 |
Liane Saíz-Urra1, Marta Teijeira2,3, Virginia Rivero-Buceta4,5, Aliuska Morales Helguera6,7, Maria Celeiro4,8, Ma Carmen Terán4,5, Pedro Besada4,5, Fernanda Borges6.
Abstract
Adenosine regulates tissue function by activating four G-protein-coupled adenosine receptors (ARs). Selective agonists and antagonists for A3 ARs have been investigated for the treatment of a variety of immune disorders, cancer, brain, and heart ischemic conditions. We herein present a QSAR study based on a Topological sub-structural molecular design (TOPS-MODE) approach, intended to predict the A3 ARs of a diverse dataset of 124 (94 training set/ 30 prediction set) adenosine derivatives. The final model showed good fit and predictive capability, displaying 85.1 % of the experimental variance. The TOPS-MODE approach afforded a better understanding and interpretation of the developed model based on the useful information extracted from the analysis of the contribution of different molecular fragments to the affinity.Entities:
Keywords: Fragment contributions; QSAR; TOPS-MODE, Ddrug discovery; adenosine receptor agonist
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Year: 2015 PMID: 26205409 DOI: 10.1007/s11030-015-9617-z
Source DB: PubMed Journal: Mol Divers ISSN: 1381-1991 Impact factor: 2.943