Ecotoxicological QSAR modeling of the acute toxicity of organic compounds to the freshwater crustacean Thamnocephalus platyurus

被引:18
作者
Lavado, Giovanna J. [1 ]
Baderna, Diego [1 ]
Gadaleta, Domenico [1 ]
Ultre, Marta [2 ]
Roy, Kunal [3 ]
Benfenati, Emilio [1 ]
机构
[1] Ist Ric Farmacol Mario Negri IRCCS, Lab Environm Toxicol, Dept Environm Hlth Sci, Via Mario Negri 2, I-20156 Milan, Italy
[2] ECOTOX LDS Srl, Via G Battista Vico 7, I-20010 Milan, Italy
[3] Jadavpur Univ, Dept Pharmaceut Technol, Drug Theoret & Cheminformat Lab, 188 Raja SC Mullick Rd, Kolkata 700032, India
关键词
QSAR; Thamnocephalus platyurus; Acute toxicity; In silico aquatic toxicology; DIFFERENT VALIDATION CRITERIA; REAL EXTERNAL PREDICTIVITY; 6 ANTICANCER DRUGS; DAPHNIA-MAGNA; AQUATIC TOXICITY; VIBRIO-FISCHERI; APPLICABILITY DOMAIN; PART; ECOTOXICITY; PHARMACEUTICALS;
D O I
10.1016/j.chemosphere.2021.130652
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Growing interest in environmental toxicity assessment using Thamnocephalus platyurus as organism has led to an increased availability of acute toxicity data. Despite this growing interest in tests with this organism, however, to the best of our knowledge there are no computational models to predict the acute toxicity in T. platyurus. In view of the limited number of in silico models for this crustacean, we developed Quantitative Structure-Activity Relationship (QSAR) models for the prediction of acute toxicity towards T. platyurus, reflected by the 24h LC50, using publicly available data according to the ISO 14380:2011 guideline. Two models were developed following the principles of QSAR modeling recommended by the Organization for Economic Cooperation and Development (OECD). We used partial least squares and gradient boosting machine techniques, which gave encouraging statistical quality in our data set.
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页数:9
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