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Toxicity: 77 Must-know Predictions of Organic Compounds by Mohammad Hossein Keshavarz

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Toxicity: 77 Must-know Predictions of Organic Compounds

Including Ionic Liquids

Mohammad Hossein Keshavarz

De Gruyter · Print & ebook · October 4, 2023

Reading lane: Toxicology

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.

At a Glance

Who It's For

Good for readers who enjoy ToxicologyGood for readers who enjoy Toxicology and Chemical & Biochemical Engineering.

Book Details

Authors
Mohammad Hossein Keshavarz
Publisher
De Gruyter
Published
October 4, 2023
Format
Print & ebook
Theme
Toxicology · Chemical & Biochemical Engineering
Reading lane
Toxicology

Affinity

Publisher Categories

  • Analytical Chemistry

  • Organic Chemistry

  • Physical Chemistry

  • Toxicology

Show all 5 publisher categories
  • Chemical & Biochemical Engineering

About This Book

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...

Read full description

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 LD 50 (50% lethal dose), EC 50 (the concentration of the desired IL that produces mortality of 50 percent of the bacterial population) and log(IGC 50 -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.

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