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Computational Systems Pharmacology and Toxicology [Hardcover]

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  • Category: Books
  • ISBN-10: 1782623329
  • ISBN-10: 1782623329
  • ISBN-13: 9781782623328
  • ISBN-13: 9781782623328
  • Publisher: Royal Society of Chemistry
  • Publisher: Royal Society of Chemistry
  • Pages: 347
  • Pages: 347
  • Binding: Hardcover
  • Binding: Hardcover
  • Item ID: 100058490
  • Seller: ShopSpell
  • Ships in: 2 Business day(s)
  • Transit time: 5 Business day(s)
  • Delivery by: May 21 to May 23
  • Notes: Free Shipping on all Books.

This book presents systems pharmacology and toxicology approaches to computational toxicology, linking chemical exposures to genes, diseases and complex biological pathways. It discusses new methods to study chemical and biological target elucidation and computational models. These computational tools hold tremendous promise for advancing applied and basic science, streamlining drug efficacy and safety testing, reducing the use of animals in testing, and increasing the efficiency and effectiveness of risk assessment for environmental chemicals. This timely and modern book will be of interest to risk assessors as well as toxicologists and pharmacologists. The case study section will make it particularly useful for academic course work at graduate and undergraduate level.

This book will be important for scientists involved in environmental research particularly in filling data gaps for risk assessment. It also will highlight key methods used in studying biological targets both from a toxicity standpoint and pharmacological activity. It provides a systems pharmacology/toxicology approach to computational toxicology, linking chemical exposures to genes, diseases, and complex biological/disease pathways. It also provides the discussion of new approaches to study chemical such as biological target elucidation and move this into computational models. Overall the book expands the computational focus of chemicals and biological interactions into the field of herbal and traditional medicines. It is noteworthy that the book reaches beyond pharmaceutical toxicology. The book will be a useful academic course book for both graduate and undergraduates studying pharmacology. It applies to areas such as Computational Toxicology; Systems biology; chemical-protein interactions; Interactions between Traditional Chinese Medicines/herbal medicines and Western therapeutics. Cross-promote this book with Big Data in Predictive Toxicology.

Dr Dale E. Johnson is currently an Adjunct PlC

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