Literature DB >> 14632421

Comparative molecular surface analysis (CoMSA) for modeling dye-fiber affinities of the azo and anthraquinone dyes.

Jaroslaw Polanski1, Rafal Gieleciak, Miroslaw Wyszomirski.   

Abstract

Despite recent investigations aimed at modeling 3D QSAR for dye molecules a controversy still exists: can a pharamacophore hypothesis be used for such purposes. In the present publication we reported on the application of the CoMSA method for modeling 3D QSAR of azo and anthraquinone dyes. We obtained very predictive models, which significantly outperform those reported in the previous CoMFA studies, especially for the azo dyes. Our results proved the previous conclusion that steric requirements are far less pronounced for the cellulose cavities than for the classical drug receptor. Moreover, our results indicate that all molecular surface segments are important for dye-fiber interactions, which also makes an important difference in relation to the classical drug pharmacophore. On the other hand, high predictivity of the CoMSA models indicates that a pharmacophore concept is suitable for the description of the dye-fiber interactions. However, this pharmacophore must substantially differ from the drug pharmacophore used for the illustration of the drug-receptor interactions. From a theoretical point of view dye-cellulose interactions can be an interesting case in which shape decides the activity rules not by the steric repulsion but as a cofactor determining the electrostatic potential distribution.

Entities:  

Year:  2003        PMID: 14632421     DOI: 10.1021/ci0340761

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  4 in total

1.  Self-organizing neural networks for modeling robust 3D and 4D QSAR: application to dihydrofolate reductase inhibitors.

Authors:  Jaroslaw Polanski; Andrzej Bak; Rafal Gieleciak; Tomasz Magdziarz
Journal:  Molecules       Date:  2004-12-31       Impact factor: 4.411

2.  Continuous indicator fields: a novel universal type of molecular fields.

Authors:  Gleb V Sitnikov; Nelly I Zhokhova; Yury A Ustynyuk; Alexandre Varnek; Igor I Baskin
Journal:  J Comput Aided Mol Des       Date:  2014-12-02       Impact factor: 3.686

3.  Receptor independent and receptor dependent CoMSA modeling with IVE-PLS: application to CBG benchmark steroids and reductase activators.

Authors:  Tomasz Magdziarz; Pawel Mazur; Jaroslaw Polanski
Journal:  J Mol Model       Date:  2008-10-21       Impact factor: 1.810

4.  A non-destructive distinctive method for discrimination of automobile lubricant variety by visible and short-wave infrared spectroscopy.

Authors:  Lulu Jiang; Fei Liu; Yong He
Journal:  Sensors (Basel)       Date:  2012-03-12       Impact factor: 3.576

  4 in total

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