PREDICTION OF THE AQUATIC TOXICITY OF PHENOLS TO TETRAHYMENA PYRIFORMIS FROM MOLECULAR DESCRIPTORS

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JIANG D.X.; LI Y.; LI J.; WANG G.X.

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Paper Information

Journal: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER) Year:2011 | Volume:5 | Issue:4 Page(s): 923-938

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Information Journal Paper

Title

PREDICTION OF THE AQUATIC TOXICITY OF PHENOLS TO TETRAHYMENA PYRIFORMIS FROM MOLECULAR DESCRIPTORS

Author(s)

JIANG D.X. | LI Y. | LI J. | WANG G.X. | Issue Writer Certificate

Keywords

QSAR

MOLCONN-Z DESCRIPTORS

LOGP DESCRIPTORS

AQUATIC TOXICITY

TETRAHYMENA PYRIFORMIS

PHENOLS

Abstract

The purpose of this work is to develop robust and interpretable quantitative structure” activity relationship (QSAR) models for assessing the AQUATIC TOXICITY of PHENOLS using a combined set of descriptors encompassing the logP and recently developed variables (Monconn-Z variables). The used dataset consists of 250 chemicals with toxicity data to the ciliate TETRAHYMENA PYRIFORMIS. For each compound, a total of 197 physico-chemical descriptors including logP and MOLCONN-Z DESCRIPTORS were calculated. Multiple linear regression (MLR) and Partial least squares (PLS) were used to obtain QSARs and the predictive performance of the proposed models were verified using external statistical validations. The results of stepwise-MLR analysis reveal that the AlogP, MlogP and ClogP models were not successful for the prediction of AQUATIC TOXICITY for all the compounds. And by using the logP (AlogP and MlogP) with MOLCONN-Z DESCRIPTORS, the obtained QSARs were not successful enough nutill removal of some outliers. Two optimal QSARs were built with R2 of 0.71 and 0.70 for the training sets and the external validation Q2 of 0.69 and 0.68 respectively. All these selected descriptors in the best models account for the hydrophobic (AlogP, MlogP) and other electro topological properties like SHCsatu, Scarboxylicacid, SHBa, gmax and nelem. PLS produces a good model using all the calculated descriptors with R2 of 0.78 and Q2 of 0.64, and hydrophobic and electro topological descriptors show importance for the prediction of phenolic toxicity.

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APA: Copy

JIANG, D.X., LI, Y., LI, J., & WANG, G.X.. (2011). PREDICTION OF THE AQUATIC TOXICITY OF PHENOLS TO TETRAHYMENA PYRIFORMIS FROM MOLECULAR DESCRIPTORS. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER), 5(4), 923-938. SID. https://sid.ir/paper/301226/en

Vancouver: Copy

JIANG D.X., LI Y., LI J., WANG G.X.. PREDICTION OF THE AQUATIC TOXICITY OF PHENOLS TO TETRAHYMENA PYRIFORMIS FROM MOLECULAR DESCRIPTORS. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER)[Internet]. 2011;5(4):923-938. Available from: https://sid.ir/paper/301226/en

IEEE: Copy

D.X. JIANG, Y. LI, J. LI, and G.X. WANG, “PREDICTION OF THE AQUATIC TOXICITY OF PHENOLS TO TETRAHYMENA PYRIFORMIS FROM MOLECULAR DESCRIPTORS,” INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER), vol. 5, no. 4, pp. 923–938, 2011, [Online]. Available: https://sid.ir/paper/301226/en

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