Literature DB >> 15149648

A TOPS-MODE approach to predict adenosine kinase inhibition.

Maykel Pérez González1, Maria Moldes del Carmen Terán.   

Abstract

The TOPological Sub-Structural Molecular Design (TOPS-MODE) approach has been applied to the study of the adenosine kinase inhibitory activity of pyrrolo[2,3-d]pyrimidine nucleoside analogues. A model capable of describing around 77% of the variance in the experimental activity of 32 analogues of these compounds was developed with the use of the mentioned approach. In contrast, no one of nine different approaches, including the use of Constitutional, Topological, BCUT, 2D autocorrelations, geometrical, RDF, 3D Morse, WHIM, and GETAWAY descriptors were able to explain more than 70% of the variance in the mentioned property with the same number of descriptors. Although, statistically significant models were derived containing other descriptors than spectral moments still the best one fitted out model was find with these variables.

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Year:  2004        PMID: 15149648     DOI: 10.1016/j.bmcl.2004.04.040

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


  2 in total

1.  Genetic neural network modeling of the selective inhibition of the intermediate-conductance Ca2+ -activated K+ channel by some triarylmethanes using topological charge indexes descriptors.

Authors:  Julio Caballero; Miguel Garriga; Michael Fernández
Journal:  J Comput Aided Mol Des       Date:  2005-12-23       Impact factor: 3.686

2.  Alignment-free prediction of mycobacterial DNA promoters based on pseudo-folding lattice network or star-graph topological indices.

Authors:  Alcides Perez-Bello; Cristian Robert Munteanu; Florencio M Ubeira; Alexandre Lopes De Magalhães; Eugenio Uriarte; Humberto González-Díaz
Journal:  J Theor Biol       Date:  2008-10-17       Impact factor: 2.691

  2 in total

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