QSPR modeling of Gibbs free energy of organic compounds by weighting of nearest neighboring codes

Autores
Castro, Eduardo Alberto; Toropova, Alla P.; Toropov, Andrey A.; Mukhamedjanova, D. V.
Año de publicación
2005
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We examine the encoding of chemical structure of organic compounds by Labeled Hydrogen-Filled Graphs (LHFGs). Quantitative Structure-Property Relationships (QSPR) for a representative set of 150 organic molecules have been derived by means of the optimization of correlation weights of local invariants of the LHFGs. We have tested as local invariants Morgan extended connectivity of zero- and first order, numbers of path of length 2 (P2) and valence shells of distance of 2 (S2) associated with each atom in the molecular structure, and the Nearest Neighboring Codes (NNC). The best statistical characteristics for the Gibbs free energy has been obtained for the NNC weighting. Statistical parameters corresponding to this model are the following n = 100, r2 = 0.9974, s = 5.136 kJ/mol, F = 38319 (training set); n = 50, r2 = 0.9990, s = 3.405 kJ/mol, F = 48717 (test set). Some possible further developments are pointed out.
Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas
Materia
Química
QSPR
Gibbs free energy
local invariant
nearest neighboring code
correlation weights
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/133006

id SEDICI_978271092f91e41f63aa1107549fb256
oai_identifier_str oai:sedici.unlp.edu.ar:10915/133006
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling QSPR modeling of Gibbs free energy of organic compounds by weighting of nearest neighboring codesCastro, Eduardo AlbertoToropova, Alla P.Toropov, Andrey A.Mukhamedjanova, D. V.QuímicaQSPRGibbs free energylocal invariantnearest neighboring codecorrelation weightsWe examine the encoding of chemical structure of organic compounds by Labeled Hydrogen-Filled Graphs (LHFGs). Quantitative Structure-Property Relationships (QSPR) for a representative set of 150 organic molecules have been derived by means of the optimization of correlation weights of local invariants of the LHFGs. We have tested as local invariants Morgan extended connectivity of zero- and first order, numbers of path of length 2 (P2) and valence shells of distance of 2 (S2) associated with each atom in the molecular structure, and the Nearest Neighboring Codes (NNC). The best statistical characteristics for the Gibbs free energy has been obtained for the NNC weighting. Statistical parameters corresponding to this model are the following <i>n</i> = 100, <i>r</i><sup>2</sup> = 0.9974, <i>s</i> = 5.136 kJ/mol, <i>F</i> = 38319 (training set); <i>n</i> = 50, <i>r</i><sup>2</sup> = 0.9990, <i>s</i> = 3.405 kJ/mol, <i>F</i> = 48717 (test set). Some possible further developments are pointed out.Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas2005info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf305-324http://sedici.unlp.edu.ar/handle/10915/133006enginfo:eu-repo/semantics/altIdentifier/issn/1040-0400info:eu-repo/semantics/altIdentifier/issn/1572-9001info:eu-repo/semantics/altIdentifier/doi/10.1007/s11224-005-4462-0info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-26T10:09:43Zoai:sedici.unlp.edu.ar:10915/133006Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-26 10:09:43.744SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv QSPR modeling of Gibbs free energy of organic compounds by weighting of nearest neighboring codes
title QSPR modeling of Gibbs free energy of organic compounds by weighting of nearest neighboring codes
spellingShingle QSPR modeling of Gibbs free energy of organic compounds by weighting of nearest neighboring codes
Castro, Eduardo Alberto
Química
QSPR
Gibbs free energy
local invariant
nearest neighboring code
correlation weights
title_short QSPR modeling of Gibbs free energy of organic compounds by weighting of nearest neighboring codes
title_full QSPR modeling of Gibbs free energy of organic compounds by weighting of nearest neighboring codes
title_fullStr QSPR modeling of Gibbs free energy of organic compounds by weighting of nearest neighboring codes
title_full_unstemmed QSPR modeling of Gibbs free energy of organic compounds by weighting of nearest neighboring codes
title_sort QSPR modeling of Gibbs free energy of organic compounds by weighting of nearest neighboring codes
dc.creator.none.fl_str_mv Castro, Eduardo Alberto
Toropova, Alla P.
Toropov, Andrey A.
Mukhamedjanova, D. V.
author Castro, Eduardo Alberto
author_facet Castro, Eduardo Alberto
Toropova, Alla P.
Toropov, Andrey A.
Mukhamedjanova, D. V.
author_role author
author2 Toropova, Alla P.
Toropov, Andrey A.
Mukhamedjanova, D. V.
author2_role author
author
author
dc.subject.none.fl_str_mv Química
QSPR
Gibbs free energy
local invariant
nearest neighboring code
correlation weights
topic Química
QSPR
Gibbs free energy
local invariant
nearest neighboring code
correlation weights
dc.description.none.fl_txt_mv We examine the encoding of chemical structure of organic compounds by Labeled Hydrogen-Filled Graphs (LHFGs). Quantitative Structure-Property Relationships (QSPR) for a representative set of 150 organic molecules have been derived by means of the optimization of correlation weights of local invariants of the LHFGs. We have tested as local invariants Morgan extended connectivity of zero- and first order, numbers of path of length 2 (P2) and valence shells of distance of 2 (S2) associated with each atom in the molecular structure, and the Nearest Neighboring Codes (NNC). The best statistical characteristics for the Gibbs free energy has been obtained for the NNC weighting. Statistical parameters corresponding to this model are the following <i>n</i> = 100, <i>r</i><sup>2</sup> = 0.9974, <i>s</i> = 5.136 kJ/mol, <i>F</i> = 38319 (training set); <i>n</i> = 50, <i>r</i><sup>2</sup> = 0.9990, <i>s</i> = 3.405 kJ/mol, <i>F</i> = 48717 (test set). Some possible further developments are pointed out.
Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas
description We examine the encoding of chemical structure of organic compounds by Labeled Hydrogen-Filled Graphs (LHFGs). Quantitative Structure-Property Relationships (QSPR) for a representative set of 150 organic molecules have been derived by means of the optimization of correlation weights of local invariants of the LHFGs. We have tested as local invariants Morgan extended connectivity of zero- and first order, numbers of path of length 2 (P2) and valence shells of distance of 2 (S2) associated with each atom in the molecular structure, and the Nearest Neighboring Codes (NNC). The best statistical characteristics for the Gibbs free energy has been obtained for the NNC weighting. Statistical parameters corresponding to this model are the following <i>n</i> = 100, <i>r</i><sup>2</sup> = 0.9974, <i>s</i> = 5.136 kJ/mol, <i>F</i> = 38319 (training set); <i>n</i> = 50, <i>r</i><sup>2</sup> = 0.9990, <i>s</i> = 3.405 kJ/mol, <i>F</i> = 48717 (test set). Some possible further developments are pointed out.
publishDate 2005
dc.date.none.fl_str_mv 2005
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/10915/133006
url http://sedici.unlp.edu.ar/handle/10915/133006
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1040-0400
info:eu-repo/semantics/altIdentifier/issn/1572-9001
info:eu-repo/semantics/altIdentifier/doi/10.1007/s11224-005-4462-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
305-324
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_ 1849876153721946112
score 13.011256