Toxicity 77 Must Know Predictions of Organic Compounds is popular PDF and ePub book, written by Mohammad Hossein Keshavarz in 2023-10-04, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Toxicity 77 Must Know Predictions of Organic Compounds can be Read Online from any device for your convenience.
Toxicity 77 Must Know Predictions of Organic Compounds Book PDF Summary
Due to the advances of various methods for the prediction of toxicity of organic compounds and ionic liquids (ILs), it is necessary to review these methods for scientists and students. It is essential to compare the advantages and shortcomings of these methods. Since many organic compounds and ILs are synthesized each year, this book introduces suitable models for the assessment of their toxicities. This book reviews the best predictive methods for the prediction of toxicity of organic compounds and ILs, which were derived by in vitro or in vivo experiments. Different available quantitative structure‐toxicity relationship (QSTR) models based on various descriptors have been discussed to predict toxicity parameters such as LD50 (50% lethal dose), EC50 (the concentration of the desired IL that produces mortality of 50 percent of the bacterial population) and log(IGC50-1) (logarithm of 50% growth inhibitory concentration of T. pyriformis) of various classes of organic compounds and ILs. The reliability of these methods is compared and discussed. Each chapter contains some complimentary problems with their answers, which can improve the experience of students and researchers. The introduced subjects are suitable for advanced students in chemistry, biochemistry, medicinal chemistry, and chemical engineering.
Detail Book of Toxicity 77 Must Know Predictions of Organic Compounds PDF
- Author : Mohammad Hossein Keshavarz
- Release : 04 October 2023
- Publisher : Walter de Gruyter GmbH & Co KG
- ISBN : 9783111189673
- Genre : Science
- Total Page : 210 pages
- Language : English
- PDF File Size : 11,9 Mb
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