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An Improved QSPR Modeling of Hydrocarbon Dipole Moments

Dipole moments of hydrocarbons are not an easy property to model with conventional 2D descriptors. A comparison of the performance of the most commonly used sets of topological descriptors is presented, each set containing descriptors derived from the regular and Detour distance matrix, Electrotopol...

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Autores principales: Nesterov, Igor V., Toropov, Andrey A., Duchowicz, Pablo R., Castro, Eduardo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: TheScientificWorldJOURNAL 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956485/
https://www.ncbi.nlm.nih.gov/pubmed/15578118
http://dx.doi.org/10.1100/tsw.2004.193
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author Nesterov, Igor V.
Toropov, Andrey A.
Duchowicz, Pablo R.
Castro, Eduardo A.
author_facet Nesterov, Igor V.
Toropov, Andrey A.
Duchowicz, Pablo R.
Castro, Eduardo A.
author_sort Nesterov, Igor V.
collection PubMed
description Dipole moments of hydrocarbons are not an easy property to model with conventional 2D descriptors. A comparison of the performance of the most commonly used sets of topological descriptors is presented, each set containing descriptors derived from the regular and Detour distance matrix, Electrotopological State Indices, and the basic number of atoms of each type and bonds. Data were taken on a representative set of 35 hydrocarbon dipole moments previously reported and the classical multivariable regression analysis for establishing the models is employed.
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spelling pubmed-59564852018-06-03 An Improved QSPR Modeling of Hydrocarbon Dipole Moments Nesterov, Igor V. Toropov, Andrey A. Duchowicz, Pablo R. Castro, Eduardo A. ScientificWorldJournal Research Article Dipole moments of hydrocarbons are not an easy property to model with conventional 2D descriptors. A comparison of the performance of the most commonly used sets of topological descriptors is presented, each set containing descriptors derived from the regular and Detour distance matrix, Electrotopological State Indices, and the basic number of atoms of each type and bonds. Data were taken on a representative set of 35 hydrocarbon dipole moments previously reported and the classical multivariable regression analysis for establishing the models is employed. TheScientificWorldJOURNAL 2004-11-18 /pmc/articles/PMC5956485/ /pubmed/15578118 http://dx.doi.org/10.1100/tsw.2004.193 Text en Copyright © 2004 Igor V. Nesterov et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Nesterov, Igor V.
Toropov, Andrey A.
Duchowicz, Pablo R.
Castro, Eduardo A.
An Improved QSPR Modeling of Hydrocarbon Dipole Moments
title An Improved QSPR Modeling of Hydrocarbon Dipole Moments
title_full An Improved QSPR Modeling of Hydrocarbon Dipole Moments
title_fullStr An Improved QSPR Modeling of Hydrocarbon Dipole Moments
title_full_unstemmed An Improved QSPR Modeling of Hydrocarbon Dipole Moments
title_short An Improved QSPR Modeling of Hydrocarbon Dipole Moments
title_sort improved qspr modeling of hydrocarbon dipole moments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956485/
https://www.ncbi.nlm.nih.gov/pubmed/15578118
http://dx.doi.org/10.1100/tsw.2004.193
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