Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph Invariants

Autores
Toropov, Andrey A.; Duchowicz, Pablo Román; Castro, Eduardo A.
Año de publicación
2003
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Quantitative Structure-Activity Relationships based on molecular descriptors calculated with Correlation Weights of Local Graph Invariants were developed to model the toxicity of aliphatic compounds to the 50% population growth inhibition. The relationships were computed on the basis of Labeled Hydrogen- Filled Graphs and correlation weights were obtained by an optimization to render as large as possible correlation coefficients between log(IGC 50-1) and descriptors calculated with correlation weights. Morgan extended connectivity indices of zero, first, and second orders, paths of lengths two and three and valence shells of second and third ranges have been tested as local invariants of the Labeled Hydrogen-Filled Graphs. The best quantitative relationship obtained from the optimization of correlation weights is that one based on the valence shell of range two. First, second, and third order fitting equations were determined and statistical results are better than other similar data for the same molecular set.
Facultad de Ciencias Exactas
Materia
Ciencias Exactas
50% population growth inhibition
aliphatic compound
haloalcohol
Correlation Weights of Local Graph Invariants
Photobacterium
labeled hydrogen-filled graphs
Quantitative Structure-Activity Relationships
Vibrio fischeri
QSAR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/36732

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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph InvariantsToropov, Andrey A.Duchowicz, Pablo RománCastro, Eduardo A.Ciencias Exactas50% population growth inhibitionaliphatic compoundhaloalcoholCorrelation Weights of Local Graph InvariantsPhotobacteriumlabeled hydrogen-filled graphsQuantitative Structure-Activity RelationshipsVibrio fischeriQSARQuantitative Structure-Activity Relationships based on molecular descriptors calculated with Correlation Weights of Local Graph Invariants were developed to model the toxicity of aliphatic compounds to the 50% population growth inhibition. The relationships were computed on the basis of Labeled Hydrogen- Filled Graphs and correlation weights were obtained by an optimization to render as large as possible correlation coefficients between log(IGC 50<SUB>-1</SUB>) and descriptors calculated with correlation weights. Morgan extended connectivity indices of zero, first, and second orders, paths of lengths two and three and valence shells of second and third ranges have been tested as local invariants of the Labeled Hydrogen-Filled Graphs. The best quantitative relationship obtained from the optimization of correlation weights is that one based on the valence shell of range two. First, second, and third order fitting equations were determined and statistical results are better than other similar data for the same molecular set.Facultad de Ciencias Exactas2003-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf272-283http://sedici.unlp.edu.ar/handle/10915/36732enginfo:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1422-0067/4/5/272info:eu-repo/semantics/altIdentifier/issn/1422-0067info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:38:40Zoai:sedici.unlp.edu.ar:10915/36732Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:38:41.08SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph Invariants
title Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph Invariants
spellingShingle Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph Invariants
Toropov, Andrey A.
Ciencias Exactas
50% population growth inhibition
aliphatic compound
haloalcohol
Correlation Weights of Local Graph Invariants
Photobacterium
labeled hydrogen-filled graphs
Quantitative Structure-Activity Relationships
Vibrio fischeri
QSAR
title_short Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph Invariants
title_full Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph Invariants
title_fullStr Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph Invariants
title_full_unstemmed Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph Invariants
title_sort Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph Invariants
dc.creator.none.fl_str_mv Toropov, Andrey A.
Duchowicz, Pablo Román
Castro, Eduardo A.
author Toropov, Andrey A.
author_facet Toropov, Andrey A.
Duchowicz, Pablo Román
Castro, Eduardo A.
author_role author
author2 Duchowicz, Pablo Román
Castro, Eduardo A.
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Exactas
50% population growth inhibition
aliphatic compound
haloalcohol
Correlation Weights of Local Graph Invariants
Photobacterium
labeled hydrogen-filled graphs
Quantitative Structure-Activity Relationships
Vibrio fischeri
QSAR
topic Ciencias Exactas
50% population growth inhibition
aliphatic compound
haloalcohol
Correlation Weights of Local Graph Invariants
Photobacterium
labeled hydrogen-filled graphs
Quantitative Structure-Activity Relationships
Vibrio fischeri
QSAR
dc.description.none.fl_txt_mv Quantitative Structure-Activity Relationships based on molecular descriptors calculated with Correlation Weights of Local Graph Invariants were developed to model the toxicity of aliphatic compounds to the 50% population growth inhibition. The relationships were computed on the basis of Labeled Hydrogen- Filled Graphs and correlation weights were obtained by an optimization to render as large as possible correlation coefficients between log(IGC 50<SUB>-1</SUB>) and descriptors calculated with correlation weights. Morgan extended connectivity indices of zero, first, and second orders, paths of lengths two and three and valence shells of second and third ranges have been tested as local invariants of the Labeled Hydrogen-Filled Graphs. The best quantitative relationship obtained from the optimization of correlation weights is that one based on the valence shell of range two. First, second, and third order fitting equations were determined and statistical results are better than other similar data for the same molecular set.
Facultad de Ciencias Exactas
description Quantitative Structure-Activity Relationships based on molecular descriptors calculated with Correlation Weights of Local Graph Invariants were developed to model the toxicity of aliphatic compounds to the 50% population growth inhibition. The relationships were computed on the basis of Labeled Hydrogen- Filled Graphs and correlation weights were obtained by an optimization to render as large as possible correlation coefficients between log(IGC 50<SUB>-1</SUB>) and descriptors calculated with correlation weights. Morgan extended connectivity indices of zero, first, and second orders, paths of lengths two and three and valence shells of second and third ranges have been tested as local invariants of the Labeled Hydrogen-Filled Graphs. The best quantitative relationship obtained from the optimization of correlation weights is that one based on the valence shell of range two. First, second, and third order fitting equations were determined and statistical results are better than other similar data for the same molecular set.
publishDate 2003
dc.date.none.fl_str_mv 2003-05
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/10915/36732
url http://sedici.unlp.edu.ar/handle/10915/36732
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1422-0067/4/5/272
info:eu-repo/semantics/altIdentifier/issn/1422-0067
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.format.none.fl_str_mv application/pdf
272-283
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
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