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

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 Hydr...

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Autores principales: Toropov, Andrey A., Duchowicz, Pablo Román, Castro, Eduardo A.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2003
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/36732
http://www.mdpi.com/1422-0067/4/5/272
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id I19-R120-10915-36732
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
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
spellingShingle 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
Toropov, Andrey A.
Duchowicz, Pablo Román
Castro, Eduardo A.
Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph Invariants
topic_facet 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
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.
format Articulo
Articulo
author Toropov, Andrey A.
Duchowicz, Pablo Román
Castro, Eduardo A.
author_facet Toropov, Andrey A.
Duchowicz, Pablo Román
Castro, Eduardo A.
author_sort Toropov, Andrey A.
title Structure-toxicity relationships for aliphatic compounds based on Correlation Weighting of Local Graph Invariants
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
publishDate 2003
url http://sedici.unlp.edu.ar/handle/10915/36732
http://www.mdpi.com/1422-0067/4/5/272
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