Literature DB >> 10551351

Modeling chromatographic parameters by a novel graph theoretical sub-structural approach.

E Estrada1, Y Gutierrez.   

Abstract

A novel approach to the study of quantitative relationships between chromatographic parameters and the chemical structure is introduced. It is based on the computation of the spectral moments of the topological bond matrix by using different weights as diagonal entries of this matrix. The main advantage of the present approach is that the quantitative contributions of the structural fragments of molecules to the chromatographic parameters studied can be obtained explicitly. By using this approach we study two data sets: one composed of 156 alkanes and the other of 81 oxygen-containing organic molecules. In both cases excellent quantitative structure-chromatographic retention relationships were obtained. The contributions of the different fragments to the chromatographic retention were generated obtaining tables of additive contributions to the properties studied. The physicochemical interpretation of the results on the basis of the retention mechanisms is also analyzed in light of this new approach.

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Year:  1999        PMID: 10551351     DOI: 10.1016/s0021-9673(99)00808-0

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  5 in total

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Authors:  Alejandro Speck-Planche; Valeria V Kleandrova
Journal:  Mol Divers       Date:  2011-10-22       Impact factor: 2.943

2.  Topological research on diamagnetic susceptibilities of organic compounds.

Authors:  Lailong Mu; Changjun Feng; Hongmei He
Journal:  J Mol Model       Date:  2008-01-03       Impact factor: 1.810

3.  Design of novel antituberculosis compounds using graph-theoretical and substructural approaches.

Authors:  Alejandro Speck Planche; Marcus Tulius Scotti; América García López; Vicente de Paulo Emerenciano; Enrique Molina Pérez; Eugenio Uriarte
Journal:  Mol Divers       Date:  2009-04-02       Impact factor: 2.943

4.  QSAR model toward the rational design of new agrochemical fungicides with a defined resistance risk using substructural descriptors.

Authors:  Alejandro Speck-Planche; Valeria V Kleandrova; Julio A Rojas-Vargas
Journal:  Mol Divers       Date:  2011-06-02       Impact factor: 2.943

5.  QSRR Models for Kováts' Retention Indices of a Variety of Volatile Organic Compounds on Polar and Apolar GC Stationary Phases Using Molecular Connectivity Indexes.

Authors:  Raouf Ghavami; Shadab Faham
Journal:  Chromatographia       Date:  2010-09-09       Impact factor: 2.044

  5 in total

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