QSTR Study on the Freshwater Photobacteria Toxicity of Substituted Benzenes  

作　　者：莫凌云 刘红艳 易忠胜 李艳红 窦蓉妮 

机构地区：[1]Guangxi Key Laboratory of Environmental Environmental Engineering,Protection and Assessment,Guilin Institute of Technology,Guilin [2]College of Chemistry and Bioengineering,Guilin University of Technology,Guilin

出　　处：《Chinese Journal of Structural Chemistry》2011年第10期1403-1411,共9页结构化学（英文）

基　　金：Sponsored by the Water Pollution Control and Management of Major Special Technology (2008ZX07317-02-03E);the Ministry of Education of Guangxi Zhuang Autonomous Region (200911MS108);Guangxi Key Laboratory of Environmental Engineering,Protection and Assessment (Nos.0801Z026,0801Z027)

摘　　要：Using a novel freshwater photobacteria — Q67 as an indication organism and the VeritasTM luminometer with 96-well microplate as the testing equipment to determine luminous intensity of photobacteria,the familiar 29 substituted benzenes of the median inhibition toxicities（pEC50）were determined,respectively.The quantum chemical parameters of 29 substituted benzenes in the ideal gas state at 298.15 K and 1.013×105 Pa have been calculated at the B3LYP/6-31G＊ level using Gaussian 03 program.The Quantitative linear relationship（N1）between the pEC50 and two descriptors of 29 substituted benzenes was developed using the variable selection and modeling based on prediction（VSMP）.Model N1 showed good estimation ability and stability（r = 0.8777,q = 0.8482）,which exhibited the difference between empirical and predicted values of 2,3-dimethylphenol was greater（0.5）,so it was given up.Using VSMP to select the optimal descriptors,a 2-variable multiple linear regression model（called model N2）was developed for the pEC50 of substituted benzenes.The r and q for model N2 based on 28 substituted benzenes are 0.8991 and 0.8735,respectively.In order to validate the model,28 substituted benzenes were divided into a training set consisting of 20 compounds and a test set with 8 compounds.The result showed that some main structural factors influencing the pEC50 of substituted benzenes are the lowest unoccupied orbital（ELUMO）and total energy（EHF）.Using a novel freshwater photobacteria — Q67 as an indication organism and the VeritasTM luminometer with 96-well microplate as the testing equipment to determine luminous intensity of photobacteria,the familiar 29 substituted benzenes of the median inhibition toxicities（pEC50）were determined,respectively.The quantum chemical parameters of 29 substituted benzenes in the ideal gas state at 298.15 K and 1.013×105 Pa have been calculated at the B3LYP/6-31G＊ level using Gaussian 03 program.The Quantitative linear relationship（N1）between the pEC50 and two descriptors of 29 substituted benzenes was developed using the variable selection and modeling based on prediction（VSMP）.Model N1 showed good estimation ability and stability（r = 0.8777,q = 0.8482）,which exhibited the difference between empirical and predicted values of 2,3-dimethylphenol was greater（0.5）,so it was given up.Using VSMP to select the optimal descriptors,a 2-variable multiple linear regression model（called model N2）was developed for the pEC50 of substituted benzenes.The r and q for model N2 based on 28 substituted benzenes are 0.8991 and 0.8735,respectively.In order to validate the model,28 substituted benzenes were divided into a training set consisting of 20 compounds and a test set with 8 compounds.The result showed that some main structural factors influencing the pEC50 of substituted benzenes are the lowest unoccupied orbital（ELUMO）and total energy（EHF）.

关 键 词：substituted benzenes photobacteria toxicity（pEC50） QSAR variable selection modeling based on prediction（VSMP） 

分 类 号：Q93[生物学—微生物学]