Literature DB >> 28261708

Development of a QSAR model for predicting aqueous reaction rate constants of organic chemicals with hydroxyl radicals.

Xiang Luo1, Xianhai Yang1, Xianliang Qiao1, Ya Wang1, Jingwen Chen1, Xiaoxuan Wei1, Willie J G M Peijnenburg2.   

Abstract

Reaction with hydroxyl radicals (˙OH) is an important removal pathway for organic pollutants in the aquatic environment. The aqueous reaction rate constant (kOH) is therefore an important parameter for fate assessment of aquatic pollutants. Since experimental determination fails to meet the requirement of being able to efficiently handle numerous organic chemicals at limited cost and within a relatively short period of time, in silico methods such as quantitative structure-activity relationship (QSAR) models are needed to predict kOH. In this study, a QSAR model with a larger and wider applicability domain as compared with existing models was developed. Following the guidelines for the development and validation of QSAR models proposed by the Organization for Economic Co-operation and Development (OECD), the model shows satisfactory performance. The applicability domain of the model has been extended and contained chemicals that have rarely been covered in most previous studies. The chemicals covered in the current model contain functional groups including [double bond splayed left]C[double bond, length as m-dash]C[double bond splayed right], -C[triple bond, length as m-dash]C-, -C6H5, -OH, -CHO, -O-, [double bond splayed left]C[double bond, length as m-dash]O, -C[double bond, length as m-dash]O(O)-, -COOH, -C[triple bond, length as m-dash]N, [double bond splayed left]N-, -NH2, -NH-C(O)-, -NO2, -N[double bond, length as m-dash]C-N[double bond splayed right], [double bond splayed left]N-N[double bond splayed right], -N[double bond, length as m-dash]N-, -S-, -S-S-, -SH, -SO3, -SO4, -PO4, and -X (F, Cl, Br, and I).

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28261708     DOI: 10.1039/c6em00707d

Source DB:  PubMed          Journal:  Environ Sci Process Impacts        ISSN: 2050-7887            Impact factor:   4.238


  2 in total

1.  MOA-based linear and nonlinear QSAR models for predicting the toxicity of organic chemicals to Vibrio fischeri.

Authors:  Shengnan Zhang; Ning Wang; Limin Su; Xiaoyan Xu; Chao Li; Weichao Qin; Yuanhui Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-08       Impact factor: 4.223

2.  Development of quantitative structure-property relationship model for predicting the field sampling rate (Rs) of Chemcatcher passive sampler.

Authors:  Yaqi Wang; Huihui Liu; Xianhai Yang
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-14       Impact factor: 4.223

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.