QSPR of the bioconcentration factors of non-ionic organic compounds in fish using extended topochemical atom (ETA) indices.
Bioconcentration refers to the absorption or uptake of a chemical from the media to an organism's tissues leading to greater concentration in tissues than that in the surrounding environment. Considering the importance of bioconcentration from the viewpoint of ecological safety assessment, a QSPR study was conducted based upon log BCF of 122 non-ionic organic compounds in fish using the recently introduced extended topochemical atom (ETA) indices. In deriving the models, principal component factor analysis (FA) followed by multiple linear regression (MLR), stepwise regression, partial least squares (PLS) and principal component regression analysis (PCRA) were applied as statistical tools. This was repeated with non-ETA (topological and physicochemical) descriptors and a combination set including both the ETA and non-ETA descriptors. The ETA indices suggested negative contributions of functionalities of nitro, amino and hydroxy substructures and positive contributions of branching, volume and functionality of chloro substituents. Again, the predictive ability of the developed models was compared with the previously reported models. Finally the validation of all the QSAR models was discussed based on random division, sorted log BCF data and K-means clusters for the factor scores of the original variable (ETA) matrix without the response property values. The results suggest that ETA parameters are sufficiently rich in chemical information to encode the structural features contributing to the bioconcentration of the non-ionic organic compounds in fish and thus these merit further assessment to explore their potential in QSAR/QSPR/QSTR modelling.
Roy
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Division of Medicinal and Pharmaceutical Chemistry, Drug Theoretics and Cheminformatics Lab, Department of Pharmaceutical Technology, Faculty of Engineering and Technology, Jadavpur University, Kolkata 700 032, India. kunalroy_in@yahoo.com
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Roy
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D000818:Animals; D002621:Chemistry / Q000379:methods; D016000:Cluster Analysis; D004785:Environmental Pollutants / Q000032:analysis* / Q000737:chemistry; D005399:Fishes; D005506:Food Contamination; D007477:Ions; D015233:Models, Statistical; D009930:Organic Chemicals / Q000737:chemistry* / Q000302:isolation & purification*; D025341:Principal Component Analysis; D021281:Quantitative Structure-Activity Relationship; D012044:Regression Analysis
D004785:Environmental Pollutants; D007477:Ions; D009930:Organic Chemicals