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.
Materia
Ciencias Químicas
Quantitative Structure-Activity Relationships (QSAR)
Correlation Weights of Local Graph Invariants
50% Population Growth Inhibition
Labeled Hydrogen-Filled Graphs
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/7083

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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/7083
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph InvariantsToropov, Andrey A.Duchowicz, Pablo RománCastro, Eduardo A.Ciencias QuímicasQuantitative Structure-Activity Relationships (QSAR)Correlation Weights of Local Graph Invariants50% Population Growth InhibitionLabeled Hydrogen-Filled GraphsQuantitative 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.MDPI (Multidisciplinary Digital Publishing Institute)2003info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/7083enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-10-23T11:14:29Zoai:digital.cic.gba.gob.ar:11746/7083Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-10-23 11:14:29.195CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
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 Químicas
Quantitative Structure-Activity Relationships (QSAR)
Correlation Weights of Local Graph Invariants
50% Population Growth Inhibition
Labeled Hydrogen-Filled Graphs
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 Químicas
Quantitative Structure-Activity Relationships (QSAR)
Correlation Weights of Local Graph Invariants
50% Population Growth Inhibition
Labeled Hydrogen-Filled Graphs
topic Ciencias Químicas
Quantitative Structure-Activity Relationships (QSAR)
Correlation Weights of Local Graph Invariants
50% Population Growth Inhibition
Labeled Hydrogen-Filled Graphs
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 50-1) 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.
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 50-1) 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.
publishDate 2003
dc.date.none.fl_str_mv 2003
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/7083
url https://digital.cic.gba.gob.ar/handle/11746/7083
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI (Multidisciplinary Digital Publishing Institute)
publisher.none.fl_str_mv MDPI (Multidisciplinary Digital Publishing Institute)
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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