Literature DB >> 15990306

BCUT descriptors to predicting affinity toward A3 adenosine receptors.

Maykel Pérez González1, Carmen Terán, Marta Teijeira, Pedro Besada, Maria J González-Moa.   

Abstract

The BCUT descriptors have been applied to the study of the A(3) adenosine receptor agonist effect of 32 adenosine analogues. A model, able to describe more than 80% of the variance in the experimental activity was developed with the use of the above-mentioned approach. Four different approaches (topological, Galvez topological charges indexes, Randić molecular profiles, and geometrical descriptors) failed to give satisfactory models for this property with the same number of variables in the equation. Although statistically significant models were derived containing descriptors other than BCUT, the best fitted model was still found with these descriptors.

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Year:  2005        PMID: 15990306     DOI: 10.1016/j.bmcl.2005.05.122

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  2 in total

1.  Topological sub-structural molecular design (TOPS-MODE): a useful tool to explore key fragments of human A3 adenosine receptor ligands.

Authors:  Liane Saíz-Urra; Marta Teijeira; Virginia Rivero-Buceta; Aliuska Morales Helguera; Maria Celeiro; Ma Carmen Terán; Pedro Besada; Fernanda Borges
Journal:  Mol Divers       Date:  2015-07-24       Impact factor: 2.943

2.  High-Dimensional descriptor selection and computational QSAR modeling for antitumor activity of ARC-111 analogues Based on Support Vector Regression (SVR).

Authors:  Wei Zhou; Zhijun Dai; Yuan Chen; Haiyan Wang; Zheming Yuan
Journal:  Int J Mol Sci       Date:  2012-01-20       Impact factor: 6.208

  2 in total

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