Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
2008-5-26
pubmed:abstractText
The risk of the presence of haloacetic acids in drinking water as chlorination by-products and the shortage of experimental mutagenicity data for most of them requires a research work. This paper describes a QSAR model to predict direct mutagenicity for these chemicals. The model, able to describe more than 90% of the variance in the experimental activity, was developed with the use of the spectral moment descriptors. The model, using these descriptors with multiplicative effects provides better results than other linear descriptors models based on Geometrical, RDF, WHIM, eigenvalue-based indices, 2D-autocorrelation ones, and information descriptors, taking into account the statistical parameters of the model and the cross-validation results. The structural alerts and the mutagenicity-predicted values from the model output are in agreement with references from other authors. The mutagenicity predicted values for the three haloacetic acids, which have available experimental data (TCAA-Trichloroacetic acid, BDCAA-Bromodichloroacetic acid, and TBAA-Tribromoacetic acid), are reasonably close to their experimental values, specially for the latest two.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1464-3391
pubmed:author
pubmed:issnType
Electronic
pubmed:day
15
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
5720-32
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Halogenated derivatives QSAR model using spectral moments to predict haloacetic acids (HAA) mutagenicity.
pubmed:affiliation
Environmental Engineering and Toxicology Department, Catholic University of San Antonio, Guadalupe, Murcia, C.P. 30107, Spain. Aperez@pdi.ucam.edu
pubmed:publicationType
Journal Article