Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12779/5218
Title: Pharmacophore Based Receptor Modeling: The Case of Adenosine A3 Receptor Antagonists. An Approach to the Optimization of Protein Models
Authors: Tafi, Andrea 
Bernardini, Cesare
Botta, Maurizio 
Corelli, Federico 
M., Andreini
A., Martinelli
G., Ortore
P. G., Baraldi
F., Fruttarolo
P. A., Borea
T., Tuccinardi
Issue Date: 2006
Project: None 
Journal: JOURNAL OF MEDICINAL CHEMISTRY
Abstract: 
To design and synthesize new potent and selective antagonists of the human A3 adenosine receptor, pharmacophoric hypotheses were generated with the software Catalyst for a comprehensive set of compounds retrieved from previous literature. Three of these pharmacophores were used to drive the optimization of a molecular model of the receptor built by homology modeling. The alignment of the ligands proposed by Catalyst was then used to manually dock a set of known A3 antagonists into the binding site, and as a result, the model was able to explain the different binding mode of very active compounds with respect to less active ones and to reproduce, with good accuracy, free energies of binding. The docking highlighted that the nonconserved residue Tyr254 could play an important role for A3 selectivity, suggesting that a mutagenesis study on this residue could be of interest in this respect. The reliability of the whole approach was successfully tested by rational design and synthesis of new compounds.
Description: 
36262
URI: http://hdl.handle.net/20.500.12779/5218
ISSN: 0022-2623
DOI: 10.1021/jm051112+
Appears in Collections:Publications

Show full item record

Page view(s)

1
Last Week
0
Last month
1
checked on May 17, 2021

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.