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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/36732
Ver los metadatos del registro completo
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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 |
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SEDICI (UNLP) |
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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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score |
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