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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Main Authors: Eduardo A. Castro, Pablo Duchowicz, Andrey A. Toropov
Format: Article
Language:English
Published: MDPI AG 2003-04-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:http://www.mdpi.com/1422-0067/4/5/272/
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spelling doaj-9fb056ba95294590a37d194df05af5652020-11-24T21:53:28ZengMDPI AGInternational Journal of Molecular Sciences1422-00672003-04-014527228310.3390/i4050272Structure–Toxicity Relationships for Aliphatic Compounds Based on Correlation Weighting of Local Graph InvariantsEduardo A. CastroPablo DuchowiczAndrey A. ToropovQuantitative 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(IGC50-1) 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.http://www.mdpi.com/1422-0067/4/5/272/Quantitative Structure-Activity Relationships (QSAR)Correlation Weights of Local Graph Invariants50% Population Growth InhibitionLabeled Hydrogen-Filled Graphs
collection DOAJ
language English
format Article
sources DOAJ
author Eduardo A. Castro
Pablo Duchowicz
Andrey A. Toropov
spellingShingle Eduardo A. Castro
Pablo Duchowicz
Andrey A. Toropov
Structure–Toxicity Relationships for Aliphatic Compounds Based on Correlation Weighting of Local Graph Invariants
International Journal of Molecular Sciences
Quantitative Structure-Activity Relationships (QSAR)
Correlation Weights of Local Graph Invariants
50% Population Growth Inhibition
Labeled Hydrogen-Filled Graphs
author_facet Eduardo A. Castro
Pablo Duchowicz
Andrey A. Toropov
author_sort Eduardo A. Castro
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 structureã¢â€â“toxicity relationships for aliphatic compounds based on correlation weighting of local graph invariants
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1422-0067
publishDate 2003-04-01
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(IGC50-1) 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.
topic Quantitative Structure-Activity Relationships (QSAR)
Correlation Weights of Local Graph Invariants
50% Population Growth Inhibition
Labeled Hydrogen-Filled Graphs
url http://www.mdpi.com/1422-0067/4/5/272/
work_keys_str_mv AT eduardoacastro structureaaatoxicityrelationshipsforaliphaticcompoundsbasedoncorrelationweightingoflocalgraphinvariants
AT pabloduchowicz structureaaatoxicityrelationshipsforaliphaticcompoundsbasedoncorrelationweightingoflocalgraphinvariants
AT andreyatoropov structureaaatoxicityrelationshipsforaliphaticcompoundsbasedoncorrelationweightingoflocalgraphinvariants
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