title: QSAR models to predict mutagenicity of acrylates, methacrylates and alpha,beta-unsaturated carbonyl compounds.
abstract: OBJECTIVE
  The purpose of this study is to develop a quantitative structure-activity relationship (QSAR) model that can distinguish mutagenic from non-mutagenic species with alpha,beta-unsaturated carbonyl moiety using two endpoints for this activity - Ames test and mammalian cell gene mutation test - and also to gather information about the molecular features that most contribute to eliminate the mutagenic effects of these chemicals.
  
  
  METHODS
  Two data sets were used for modeling the two mutagenicity endpoints: (1) Ames test and (2) mammalian cells mutagenesis. The first one comprised 220 molecules, while the second one 48 substances, ranging from acrylates, methacrylates to alpha,beta-unsaturated carbonyl compounds. The QSAR models were developed by applying linear discriminant analysis (LDA) along with different sets of descriptors computed using the DRAGON software.
  
  
  RESULTS
  For both endpoints, there was a concordance of 89% in the prediction and 97% confidentiality by combining the three models for the Ames test mutagenicity. We have also identified several structural alerts to assist the design of new monomers.
  
  
  CONCLUSIONS
  These individual models and especially their combination are attractive from the point of view of molecular modeling and could be used for the prediction and design of new monomers that do not pose a human health risk.
authors.affiliation: Enviromental Engineering and Toxicology Dpt., Catholic University of San Antonio, Guadalupe, Murcia, Spain. Aperez@pdi.ucam.edu
authors.forename: Alfonso
authors.initials: A
authors.lastname: Pérez-Garrido
authors.forename: Aliuska Morales
authors.initials: AM
authors.lastname: Helguera
authors.forename: Francisco Girón
authors.initials: FG
authors.lastname: Rodríguez
authors.forename: M Natália D S
authors.initials: MN
authors.lastname: Cordeiro
mesh_terms: D000179:Acrylates / Q000737:chemistry*; D000447:Aldehydes / Q000737:chemistry; D016000:Cluster Analysis; D019295:Computational Biology; D016002:Discriminant Analysis; D005103:Expert Systems; D006801:Humans; D007659:Ketones / Q000737:chemistry; D008689:Methacrylates / Q000737:chemistry; D008958:Models, Molecular; D009152:Mutagenicity Tests; D009153:Mutagens / Q000032:analysis* / Q000737:chemistry; D009930:Organic Chemicals / Q000737:chemistry*; D021281:Quantitative Structure-Activity Relationship; D012984:Software
chemical_list: D000179:Acrylates; D000447:Aldehydes; D007659:Ketones; D008689:Methacrylates; D009153:Mutagens; D009930:Organic Chemicals