Literature DB >> 15653328

A radial distribution function approach to predict A(2B) agonist effect of adenosine analogues.

Maykel Pérez González1, Carmen Terán, Yagamare Fall, Marta Teijeira, Pedro Besada.   

Abstract

The radial distribution function (RDF) approach has been applied to the study of the A(2B) agonist effect of a set of 89 adenosine analogues reported with this activity. A model able to describe more than 70% of the variance in the experimental activity was developed with the use of the mentioned approach. In contrast, none of the eleven different approaches including the use of Constitutional, Topological, Molecular walk count, BCUT, Galvez topological charge indices, 2D autocorrelations, Randić molecular profiles, Geometrical, 3D Morse, WHIM and GETAWAY descriptors was able to explain more than 47% of the variance in the mentioned property with the same number of descriptors.

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Year:  2005        PMID: 15653328     DOI: 10.1016/j.bmc.2004.10.063

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  2 in total

1.  A radial-distribution-function approach for predicting rodent carcinogenicity.

Authors:  Aliuska Helguera Morales; Miguel Angel Cabrera Pérez; Maykel Pérez González
Journal:  J Mol Model       Date:  2006-01-19       Impact factor: 1.810

2.  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 in total

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