Toxicity: 77 Must-Know Predictions of Organic Compounds : : Including Ionic Liquids / / Mohammad Hossein Keshavarz.

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 a...

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Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2023]
©2023
Year of Publication:2023
Language:English
Series:De Gruyter Textbook
Online Access:
Physical Description:1 online resource (IX, 199 p.)
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100 1 |a Keshavarz, Mohammad Hossein,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Toxicity: 77 Must-Know Predictions of Organic Compounds :  |b Including Ionic Liquids /  |c Mohammad Hossein Keshavarz. 
264 1 |a Berlin ;  |a Boston :   |b De Gruyter,   |c [2023] 
264 4 |c ©2023 
300 |a 1 online resource (IX, 199 p.) 
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505 0 0 |t Frontmatter --   |t Preface --   |t Contents --   |t Chapter 1 Toxicity Assessment --   |t Chapter 2 Toxicity of Small Data Sets of Organic Compounds --   |t Chapter 3 Toxicity of Medium-Sized Data Sets --   |t Chapter 4 Toxicity of Large Data Sets --   |t Chapter 5 Toxicity of Ionic Liquids --   |t List of Symbols --   |t Answers to Problems --   |t References --   |t About the Author --   |t Index 
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520 |a 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. 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Jun 2024) 
650 4 |a Chemische Technik. 
650 4 |a Organische Chemie. 
650 4 |a Technische Chemie. 
650 4 |a Toxikologie. 
650 7 |a SCIENCE / Chemistry / Toxicology.  |2 bisacsh 
653 |a Ionic Liquid. 
653 |a Organic Chemistry. 
653 |a Organic Compound. 
653 |a Toxicity. 
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