Pharmacophore based receptor modeling:: The case of adenosine A3 receptor antagonists.: An approach to the optimization of protein models

被引:31
作者
Tafi, Andrea
Bernardini, Cesare
Botta, Maurizio
Corelli, Federico
Andreini, Matteo
Martinelli, Adriano
Ortore, Gabriella
Baraldi, Pier Giovanni
Fruttarolo, Francesca
Borea, Pier Andrea
Tuccinardi, Tiziano
机构
[1] Univ Siena, Dipartimento Farmaco Chim Tecnol, I-53100 Siena, Italy
[2] Univ Pisa, Dipartimento Sci Farmaceut, I-56126 Pisa, Italy
[3] Univ Ferrara, Dipartimento Sci Farmaceut, I-44100 Ferrara, Italy
[4] Univ Ferrara, Dipartimento Med Clin & Sperimentale, Sez Farmacol, I-44100 Ferrara, Italy
关键词
D O I
10.1021/jm051112+
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
To design and synthesize new potent and selective antagonists of the human A(3) 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 A(3) 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 A(3) 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.
引用
收藏
页码:4085 / 4097
页数:13
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