title: 3D-QSAR study on atmospheric half-lives of POPs using CoMFA and CoMSIA.
abstract: 3D-QSAR studies of persistent organic pollutants (POPs) screening for atmosphere persistence were performed by comparative molecular field analysis (CoMFA) and comparative molecular similarity index analysis (CoMSIA) methods. The mean and maximum half-life estimations for degradation in air of 49 UNEP POPs and possible POPs were modeled. Both groups' data have been modeled to obtain an average estimate and a predictive value for ranking and screening purposes. CoMFA and CoMSIA models have given cross-validation regression coefficient (q2) values of more than 0.69 and correlation coefficient (r2) value of more than 0.84, which validated for their prediction, could be applied to predict unavailable data.
authors.affiliation: Department of Materials and Chemical Engineering, Guilin University of Technology, Guilin 541004, China. lvyuyin@163.com
authors.forename: Yuyin
authors.initials: Y
authors.lastname: Lv
authors.forename: Chunsheng
authors.initials: C
authors.lastname: Yin
authors.forename: Hongyan
authors.initials: H
authors.lastname: Liu
authors.forename: Zhongsheng
authors.initials: Z
authors.lastname: Yi
authors.forename: Yang
authors.initials: Y
authors.lastname: Wang
mesh_terms: D000393:Air Pollutants / Q000032:analysis / Q000737:chemistry*; D006207:Half-Life; D008958:Models, Molecular; D009930:Organic Chemicals / Q000032:analysis / Q000737:chemistry*; D021281:Quantitative Structure-Activity Relationship
chemical_list: D000393:Air Pollutants; D009930:Organic Chemicals