Literature DB >> 20224910

Pharmacophore modeling of human adenosine receptor A(₂A) antagonists.

Zhejun Xu1, Feixiong Cheng, Chenxiao Da, Guixia Liu, Yun Tang.   

Abstract

Three-dimensional pharmacophore models of human adenosine receptor A(₂A) antagonists were developed based on 23 diverse compounds selected from a large number of A(₂A) antagonists. The best pharmacophore model, Hypo1, contained five features: one hydrogen bond donor , three hydrophobic points and one ring aromatic. Its correlation coefficient, root mean square deviation, and cost difference values were 0.955, 0.921 and 84.4, respectively, suggested that the Hypo1 model was reasonable and reliable. This model was validated by three methods: a test set of 106 diverse compounds, a simulated virtual screening, and superimposition with the crystal structure of A(₂A) receptor. The results showed that Hypo1 was not only in agreement with the A(₂A) crystal structure and literature reports, but also well identified active A(₂A) antagonists from the virtual database. This methodology provides helpful information and a robust tool for the discovery of potent A(₂A) antagonists.

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Year:  2010        PMID: 20224910     DOI: 10.1007/s00894-010-0690-z

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  32 in total

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2.  In silico prediction of chemical mechanism of action via an improved network-based inference method.

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