Researc H Article, A. Belhassan, T. Lakhlifi, M. Bouachrine
{"title":"苯酚衍生物对小球藻水生毒性的3D-QSTR研究","authors":"Researc H Article, A. Belhassan, T. Lakhlifi, M. Bouachrine","doi":"10.33140/ijpd.01.01.01","DOIUrl":null,"url":null,"abstract":"This study aims to develop quantitative structure-toxicity models to predict the toxicity of phenol derivatives. For that purpose, thetoxicity data of a total of 43substituted phenols to Chlorella Vulgaris (C. Vulgaris), were used to build and validate the three dimensional quantitative structure–toxicity relationships (3D-QSTR) models. The 3D-QSTR models were constructed using Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) methods. The created models displayed goodpredictivity, which can be used to predict the toxicity of other phenol derivatives on C. Vulgaris; the statistical results indicate that the predicted values are in good agreement with the experimental results for CoMFAand CoMSIAmodels; (r2 = 0.760; Q2 = 0.559;r2 test= 0.761)and (r2 = 0.778; Q2 = 0.680; r2 test= 0.534), respectively.","PeriodicalId":197511,"journal":{"name":"International Journal of Probiotics and Dietetics","volume":"61 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"3D-QSTR study of the aquatic toxicity of phenol derivatives to Chlorella Vulgaris\",\"authors\":\"Researc H Article, A. Belhassan, T. Lakhlifi, M. Bouachrine\",\"doi\":\"10.33140/ijpd.01.01.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to develop quantitative structure-toxicity models to predict the toxicity of phenol derivatives. For that purpose, thetoxicity data of a total of 43substituted phenols to Chlorella Vulgaris (C. Vulgaris), were used to build and validate the three dimensional quantitative structure–toxicity relationships (3D-QSTR) models. The 3D-QSTR models were constructed using Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) methods. The created models displayed goodpredictivity, which can be used to predict the toxicity of other phenol derivatives on C. Vulgaris; the statistical results indicate that the predicted values are in good agreement with the experimental results for CoMFAand CoMSIAmodels; (r2 = 0.760; Q2 = 0.559;r2 test= 0.761)and (r2 = 0.778; Q2 = 0.680; r2 test= 0.534), respectively.\",\"PeriodicalId\":197511,\"journal\":{\"name\":\"International Journal of Probiotics and Dietetics\",\"volume\":\"61 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Probiotics and Dietetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33140/ijpd.01.01.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Probiotics and Dietetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33140/ijpd.01.01.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D-QSTR study of the aquatic toxicity of phenol derivatives to Chlorella Vulgaris
This study aims to develop quantitative structure-toxicity models to predict the toxicity of phenol derivatives. For that purpose, thetoxicity data of a total of 43substituted phenols to Chlorella Vulgaris (C. Vulgaris), were used to build and validate the three dimensional quantitative structure–toxicity relationships (3D-QSTR) models. The 3D-QSTR models were constructed using Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) methods. The created models displayed goodpredictivity, which can be used to predict the toxicity of other phenol derivatives on C. Vulgaris; the statistical results indicate that the predicted values are in good agreement with the experimental results for CoMFAand CoMSIAmodels; (r2 = 0.760; Q2 = 0.559;r2 test= 0.761)and (r2 = 0.778; Q2 = 0.680; r2 test= 0.534), respectively.