Predicting whether a compound will be toxic or nontoxic is a classification problem and the methods of studying quantitative structure activity relationships ( ...
Missing: Lepadatu Toward Realistic Metal
The present study considers a class of 28 aromatic nitroderivatives aiming at the interaction mechanism between the chemical substances and the biological ...
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The coordination chemistry-based approach for qualitatively predicting trends in metal ion bioactivities has been applied successfully for several decades. In ...
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Dec 19, 2019 · The ion-based QSAR approach was further successfully applied to predict the toxicity of individual metals on a wide range of species [20].
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Quantitative structure activity relationship (QSAR) study attempts to correlate chemical structure with activity using statistical approaches and is now ...
Missing: Lepadatu More Realistic
So, the high accuracy of QSAR model identified its feasibility to predict the toxicity of heavy metal pollutants in mining wastewater. Citation: Su C, Hua Y, ...
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... more of Al 3+ approach 1. The tetragonal symmetry ... Even more sensitive towards ... Fe, Ag, and Cu ions had more obvious effects compared with other metal ions.
QSAR & combinatorial science. SCI. 中文名称：QSAR与 ... Toward a More Realistic QSAR Approach to Predicting Metal Toxicity. Costinel Lepadatu,Monica Enache,John D ...
Mar 19, 2019 · Thus, evaluation of single chemical toxicity for specific species and environmental compartments may not show the real toxicity data in real ...
Quantitative structure activity relationships (QSARs) were developed to predict toxicity of metal ions (from the aquatic environment and soil) by ...
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