| Literature DB >> 17668454 |
Maykel Pérez González1, Carmen Terán, Marta Teijeira.
Abstract
In view of the large libraries of nucleoside analogues that are now being handled in organic synthesis, the identification of drug biological activity is advisable prior to synthesis and this can be achieved by employing predictive biological property methods. In this sense, Quantitative Structure-Activity Relationships (QSAR) or docking approaches have emerged as promising tools. Although a large number of in silico approaches have been described in the literature for the prediction of different biological activities, the use of QSAR applications to develop adenosine receptor (AR) antagonists is not common as for the case of the antibiotics and anticancer compounds for instance. The intention of this review is to summarize the present knowledge concerning computational predictions of new molecules as adenosine receptor antagonists. Copyright (c) 2007 Wiley-Periodicals, Inc.Entities:
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Year: 2008 PMID: 17668454 DOI: 10.1002/med.20108
Source DB: PubMed Journal: Med Res Rev ISSN: 0198-6325 Impact factor: 12.944