Computational Systems Pharmacology and Toxicology (2017) (PDF) Rudy J Richardson

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Computational Systems Pharmacology and Toxicology (2017) (PDF) Rudy J Richardson

Basic Information:

  • Year: 2017
  • Page Number: 332
  • File Type: PDF
  • File Size: 11.78 MB
  • Authors/ Editiors: Rudy J Richardson

Description:

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.

The network approaches of systems pharmacology and toxicology serve as early predictors of the most relevant screening approach to pursue both in drug discovery and development and ecotoxicological assessments. Computational approaches have the potential to improve toxicological experimental design, enable more rapid drug efficacy and safety testing and also reduce the number of animals used in experimentation. Rapid advances in availability of computing technology hold tremendous promise for advancing applied and basic science and increasing the efficiency of risk assessment.

This book provides an understanding of the basic principles of computational toxicology and the current methods of predictive toxicology using chemical structures, toxicity-related databases, in silico chemical-protein docking, and biological pathway tools. The book begins with an introduction to systems pharmacology and toxicology and computational tools followed by a section exploring modelling adverse outcomes and events. The second part of the book covers the discovery of protein targets and the characterisation of toxicant-protein interactions. Final chapters include case studies and additionally discuss interactions between phytochemicals and Western therapeutics.

User’s Review:

The network approaches of systems pharmacology and toxicology serve as early predictors of the most relevant screening approach to pursue both in drug discovery and development and ecotoxicological assessments. Computational approaches have the potential to improve toxicological experimental design, enable more rapid drug efficacy and safety testing and also reduce the number of animals used in experimentation. Rapid advances in availability of computing technology hold tremendous promise for advancing applied and basic science and increasing the efficiency of risk assessment.

This book provides an understanding of the basic principles of computational toxicology and the current methods of predictive toxicology using chemical structures, toxicity-related databases, in silico chemical-protein docking, and biological pathway tools. The book begins with an introduction to systems pharmacology and toxicology and computational tools followed by a section exploring modelling adverse outcomes and events. The second part of the book covers the discovery of protein targets and the characterisation of toxicant-protein interactions. Final chapters include case studies and additionally discuss interactions between phytochemicals and Western therapeutics.

Keywords

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