Literature DB >> 28470501

Assessment of long-range transport potential of polychlorinated Naphthalenes based on three-dimensional QSAR models.

Xiaolei Wang1, Wenen Gu1, Ermin Guo2, Chunyue Cui3, Yu Li4.   

Abstract

Experimentally determined octanol-air partition coefficients (K OA) for 43 polychlorinated naphthalene (PCN) congeners and experimentally determined subcooled liquid vapor pressures (P L) for 17 PCN congeners were used with comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) to generate three-dimensional quantitative structure-activity relationship (3D-QSAR) models. The data were used to predict K OA values for the other 32 congeners and P L values for the other 58 congeners. The CoMFA and CoMSIA model contour maps showed that the electrostatic fields of the PCN molecules are the most important factors affecting the K OA and P L values. The long-range transport potentials of several PCN homologs were assessed using the following grading system: high mobility (MoCNs), relatively high mobility (DiCNs to TeCNs), relatively low mobility (PeCNs to HeCNs) and low mobility (HeCNs and OCN). The PCN-2 molecule was modified using the contour maps of the two models, and the results showed that introducing an electronegative R1 substituent increased the K OA value but introducing an electropositive R6 substituent decreased the P L value. PCN-2 was in the high mobility class, but introducing these substituents moved the long-range transport potentials of the modified molecules to the relatively high mobility class.

Entities:  

Keywords:  3D–QSAR; Evaluation standard for long-range transport potential; Migration ability; Molecule design; Octanol–air partition coefficient; Polychlorinated naphthalenes; Subcooled liquid vapor pressure

Mesh:

Substances:

Year:  2017        PMID: 28470501     DOI: 10.1007/s11356-017-8967-8

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  24 in total

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2.  Molecular similarity indices in a comparative analysis (CoMSIA) of drug molecules to correlate and predict their biological activity.

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Journal:  Sci Total Environ       Date:  2005-04-15       Impact factor: 7.963

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Authors: 
Journal:  J Hazard Mater       Date:  2015-04-13       Impact factor: 10.588

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Journal:  Environ Sci Technol       Date:  2007-04-15       Impact factor: 9.028

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