New Molecular Descriptors based upon the Euler Equations for Chemical Graphs
- Autores
- Duchowicz, Pablo Román; Bucknum, Michael J.; Castro, Eduardo Alberto
- Año de publicación
- 2006
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The Euler equations for the chemical graphs are an extension of such equations for the polyhedra. These equations admit several potential forms of molecular descriptors that can be used in the characterizations of the properties of polycyclic aromatic hydrocarbons (PAH) in a typical Quantitative Structure Property–Activity Relationship (QSPR-QSAR). In this paper we describe the nature of these Euler relations for hydrocarbon graphs and the descriptors they admit, applying them to predict 37 boiling points (BP), 26 n-octanol/water partition coefficients (log(kow)), and 47 retention time indexes (RI) for reversed-phase liquid chromatography analysis. Final results suggest that these new descriptors can be used to complement others in a QSPR-QSAR study.
Facultad de Ciencias Exactas - Materia
-
Química
QSPR theory
polycyclic aromatic hydrocarbons
Euler equations
Schlaefli indexes - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/136810
Ver los metadatos del registro completo
id |
SEDICI_9c1c4444b4d5fc022fca6786f0ce37e2 |
---|---|
oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/136810 |
network_acronym_str |
SEDICI |
repository_id_str |
1329 |
network_name_str |
SEDICI (UNLP) |
spelling |
New Molecular Descriptors based upon the Euler Equations for Chemical GraphsDuchowicz, Pablo RománBucknum, Michael J.Castro, Eduardo AlbertoQuímicaQSPR theorypolycyclic aromatic hydrocarbonsEuler equationsSchlaefli indexesThe Euler equations for the chemical graphs are an extension of such equations for the polyhedra. These equations admit several potential forms of molecular descriptors that can be used in the characterizations of the properties of polycyclic aromatic hydrocarbons (PAH) in a typical Quantitative Structure Property–Activity Relationship (QSPR-QSAR). In this paper we describe the nature of these Euler relations for hydrocarbon graphs and the descriptors they admit, applying them to predict 37 boiling points (BP), 26 n-octanol/water partition coefficients (log(kow)), and 47 retention time indexes (RI) for reversed-phase liquid chromatography analysis. Final results suggest that these new descriptors can be used to complement others in a QSPR-QSAR study.Facultad de Ciencias Exactas2006-03-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf193-208http://sedici.unlp.edu.ar/handle/10915/136810enginfo:eu-repo/semantics/altIdentifier/issn/0259-9791info:eu-repo/semantics/altIdentifier/issn/1572-8897info:eu-repo/semantics/altIdentifier/doi/10.1007/s10910-006-9070-4info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:04:38Zoai:sedici.unlp.edu.ar:10915/136810Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:04:38.512SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
New Molecular Descriptors based upon the Euler Equations for Chemical Graphs |
title |
New Molecular Descriptors based upon the Euler Equations for Chemical Graphs |
spellingShingle |
New Molecular Descriptors based upon the Euler Equations for Chemical Graphs Duchowicz, Pablo Román Química QSPR theory polycyclic aromatic hydrocarbons Euler equations Schlaefli indexes |
title_short |
New Molecular Descriptors based upon the Euler Equations for Chemical Graphs |
title_full |
New Molecular Descriptors based upon the Euler Equations for Chemical Graphs |
title_fullStr |
New Molecular Descriptors based upon the Euler Equations for Chemical Graphs |
title_full_unstemmed |
New Molecular Descriptors based upon the Euler Equations for Chemical Graphs |
title_sort |
New Molecular Descriptors based upon the Euler Equations for Chemical Graphs |
dc.creator.none.fl_str_mv |
Duchowicz, Pablo Román Bucknum, Michael J. Castro, Eduardo Alberto |
author |
Duchowicz, Pablo Román |
author_facet |
Duchowicz, Pablo Román Bucknum, Michael J. Castro, Eduardo Alberto |
author_role |
author |
author2 |
Bucknum, Michael J. Castro, Eduardo Alberto |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Química QSPR theory polycyclic aromatic hydrocarbons Euler equations Schlaefli indexes |
topic |
Química QSPR theory polycyclic aromatic hydrocarbons Euler equations Schlaefli indexes |
dc.description.none.fl_txt_mv |
The Euler equations for the chemical graphs are an extension of such equations for the polyhedra. These equations admit several potential forms of molecular descriptors that can be used in the characterizations of the properties of polycyclic aromatic hydrocarbons (PAH) in a typical Quantitative Structure Property–Activity Relationship (QSPR-QSAR). In this paper we describe the nature of these Euler relations for hydrocarbon graphs and the descriptors they admit, applying them to predict 37 boiling points (BP), 26 n-octanol/water partition coefficients (log(kow)), and 47 retention time indexes (RI) for reversed-phase liquid chromatography analysis. Final results suggest that these new descriptors can be used to complement others in a QSPR-QSAR study. Facultad de Ciencias Exactas |
description |
The Euler equations for the chemical graphs are an extension of such equations for the polyhedra. These equations admit several potential forms of molecular descriptors that can be used in the characterizations of the properties of polycyclic aromatic hydrocarbons (PAH) in a typical Quantitative Structure Property–Activity Relationship (QSPR-QSAR). In this paper we describe the nature of these Euler relations for hydrocarbon graphs and the descriptors they admit, applying them to predict 37 boiling points (BP), 26 n-octanol/water partition coefficients (log(kow)), and 47 retention time indexes (RI) for reversed-phase liquid chromatography analysis. Final results suggest that these new descriptors can be used to complement others in a QSPR-QSAR study. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-03-13 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/136810 |
url |
http://sedici.unlp.edu.ar/handle/10915/136810 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/0259-9791 info:eu-repo/semantics/altIdentifier/issn/1572-8897 info:eu-repo/semantics/altIdentifier/doi/10.1007/s10910-006-9070-4 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf 193-208 |
dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
reponame_str |
SEDICI (UNLP) |
collection |
SEDICI (UNLP) |
instname_str |
Universidad Nacional de La Plata |
instacron_str |
UNLP |
institution |
UNLP |
repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
_version_ |
1842260545530494976 |
score |
13.13397 |