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
.jpg)
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/7083
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 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/ |
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application/pdf |
| dc.publisher.none.fl_str_mv |
MDPI (Multidisciplinary Digital Publishing Institute) |
| publisher.none.fl_str_mv |
MDPI (Multidisciplinary Digital Publishing Institute) |
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reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
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CIC Digital (CICBA) |
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CIC Digital (CICBA) |
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Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
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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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12.982451 |