9783319660820-3319660829-A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment

A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment

ISBN-13: 9783319660820
ISBN-10: 3319660829
Edition: 1st ed. 2018
Author: Natàlia Garcia-Reyero, Cheryl A. Murphy
Publication date: 2018
Publisher: Springer
Format: Hardcover 436 pages
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Book details

ISBN-13: 9783319660820
ISBN-10: 3319660829
Edition: 1st ed. 2018
Author: Natàlia Garcia-Reyero, Cheryl A. Murphy
Publication date: 2018
Publisher: Springer
Format: Hardcover 436 pages

Summary

A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment (ISBN-13: 9783319660820 and ISBN-10: 3319660829), written by authors Natàlia Garcia-Reyero, Cheryl A. Murphy, was published by Springer in 2018. With an overall rating of 4.0 stars, it's a notable title among other Bioinformatics (Biological Sciences) books. You can easily purchase or rent A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment (Hardcover) from BooksRun, along with many other new and used Bioinformatics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Social pressure to minimize the use of animal testing, the ever-increasing concern on animal welfare, and the need for more human-relevant and more predictive toxicity tests are some of the drivers for new approaches to chemical screening. This book focuses on The Adverse Outcome Pathway, an analytical construct that describes a sequential chain of causally linked events at different levels of biological organization that lead to an adverse health or ecotoxicological effect. While past efforts have focused on toxicological pathway-based vision for human and ecological health assessment relying on in vitro systems and predictive models, The Adverse Outcome Pathway framework provides a simplified and structured way to organize toxicological information. Within the book, a systems biology approach supplies the tools to infer, link, and quantify the molecular initiating events and the key events and key event relationships leading to adverse outcomes. The advancement of these tools is crucial for the successful implementation of AOPs for regulatory purposes.

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