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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.