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

Toxicity: 77 Must-know Predictions of Organic Compounds

Including Ionic Liquids

Mohammad Hossein Keshavarz

De Gruyter · Print & ebook · October 4, 2023

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.

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Who it’s for
Explore QSTR models, toxicity parameters, and comparisons of predictive methods for organic compounds and ionic liquids.
Genres
Toxicology, Organic Chemistry, Molecular Modeling
Published
De Gruyter, October 4, 2023

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.

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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.

QSTR Toxicity Models

Explore QSTR models, toxicity parameters, and comparisons of predictive methods for organic compounds and ionic liquids.

Come here for

  • QSTR models for predicting toxicity in organic compounds and ionic liquids
  • Comparisons of model reliability and shortcomings

Expect

  • Coverage of LD₅₀, EC₅₀, and log(IGC₅₀⁻¹)
  • Chapter problems with answers

Where it sits

Toxicology100%
Organic Chemistry36%
Molecular Modeling28%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Analytical Chemistry
  • Organic Chemistry
  • Physical Chemistry
  • Toxicology
Show all 5 publisher categories
  • Chemical & Biochemical Engineering
Authors
Mohammad Hossein Keshavarz
Publisher
De Gruyter
Published
October 4, 2023
Format
Print & ebook
Reading lane
Analytical Chemistry