Literature DB >> 10529985

Comparative spectra analysis (CoSA): spectra as three-dimensional molecular descriptors for the prediction of biological activities.

R Bursi1, T Dao, T van Wijk, M de Gooyer, E Kellenbach, P Verwer.   

Abstract

A novel 3D QSAR approach, comparative spectra analysis (CoSA), in which molecular spectra are used as three-dimensional molecular descriptors for the prediction of biological activities, is presented and discussed. To this purpose, experimentally determined 1H NMR, mass, and IR spectra, as well as simulated IR and 13C NMR spectra, for a set of 45 diverse progestagens are converted by a program, SpecMat, into matrixes, which are subsequently employed in a multivariate regression analysis (PLS). The results are compared with those resulting from a comparative molecular field analysis (CoMFA). When used individually, spectral descriptors yield better correlations and predictions than molecular field descriptors. A combination of spectral descriptors with other descriptors, either spectral or molecular field in nature, leads in most cases to models that are statistically superior to the ones obtained by their corresponding individual spectral or molecular field descriptors.

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Year:  1999        PMID: 10529985     DOI: 10.1021/ci990038z

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


  5 in total

1.  Developing 13C NMR quantitative spectrometric data-activity relationship (QSDAR) models of steroid binding to the corticosteroid binding globulin.

Authors:  R D Beger; J G Wilkes
Journal:  J Comput Aided Mol Des       Date:  2001-07       Impact factor: 3.686

2.  Comparison between steroid binding to membrane progesterone receptor alpha (mPRalpha) and to nuclear progesterone receptor: correlation with physicochemical properties assessed by comparative molecular field analysis and identification of mPRalpha-specific agonists.

Authors:  Jan Kelder; Rita Azevedo; Yefei Pang; Jacob de Vlieg; Jing Dong; Peter Thomas
Journal:  Steroids       Date:  2010-01-22       Impact factor: 2.668

3.  Ligand intramolecular motions in ligand-protein interaction: ALPHA, a novel dynamic descriptor and a QSAR study with extended steroid benchmark dataset.

Authors:  Kari Tuppurainen; Marja Viisas; Mikael Peräkylä; Reino Laatikainen
Journal:  J Comput Aided Mol Des       Date:  2004-03       Impact factor: 3.686

4.  Combining NMR spectral and structural data to form models of polychlorinated dibenzodioxins, dibenzofurans, and biphenyls binding to the AhR.

Authors:  Richard D Beger; Dan A Buzatu; Jon G Wilkes
Journal:  J Comput Aided Mol Des       Date:  2002-10       Impact factor: 3.686

5.  Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets.

Authors:  César R García-Jacas; Ernesto Contreras-Torres; Yovani Marrero-Ponce; Mario Pupo-Meriño; Stephen J Barigye; Lisset Cabrera-Leyva
Journal:  J Cheminform       Date:  2016-02-25       Impact factor: 5.514

  5 in total

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