Computational Toxicology: Risk Assessment for Chemicals (Wiley Series on Technologies for the Pharmaceutical Industry) - Hardcover

Über die Autorin bzw. den Autor

Sean Ekins, MSc, PhD, DSc has over 20 years of pharmaceutical and toxicology experience. He is the founder or co-founder of two companies and Adjunct Professor at three universities. He has been awarded 16 NIH grants as Principal Investigator. He has authored or co authored over 285 peer-reviewed papers and book chapters and edited five books with Wiley. His research is focused on collaborations to facilitate rare and neglected disease drug discovery.

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Computational Toxicology: Risk Assessment for Chemicals offers a comprehensive analysis of applied approaches and strategies. The book begins with an introduction to toxicology and relevant technologies and then addresses the most advanced currently available molecular-modelling software and its role in toxicity testing.

The chapters feature in-depth looks at QSAR models, physicochemical drug properties, structure-based drug targeting, chemical mixture assessments, and environmental modelling. Additional coverage includes consumer product safety assessment and chemical defense, along with chapters on open source toxicology and big data.

An important resource for researchers and regulators involved in toxicology and risk assessment:

• Provides a perspective of what is currently achievable with computational toxicology and a view to future developments
• Helps readers overcome questions of data sources, curation, treatment, and how to model / interpret critical endpoints that support 21st century hazard assessment
• Assembles cutting-edge concepts and leading authors into a unique and powerful single-source reference

Aus dem Klappentext

Computational Toxicology: Risk Assessment for Chemicals offers a comprehensive analysis of applied approaches and strategies. The book begins with an introduction to toxicology and relevant technologies and then addresses the most advanced currently available molecular-modelling software and its role in toxicity testing.

The chapters feature in-depth looks at QSAR models, physicochemical drug properties, structure-based drug targeting, chemical mixture assessments, and environmental modelling. Additional coverage includes consumer product safety assessment and chemical defense, along with chapters on open source toxicology and big data.

An important resource for researchers and regulators involved in toxicology and risk assessment:

• Provides a perspective of what is currently achievable with computational toxicology and a view to future developments
• Helps readers overcome questions of data sources, curation, treatment, and how to model / interpret critical endpoints that support 21st century hazard assessment
• Assembles cutting-edge concepts and leading authors into a unique and powerful single-source reference