Titlebook: Computational Systems Toxicology; Julia Hoeng,Manuel C. Peitsch Book 2015 Springer Science+Business Media New York 2015 Biological network

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High-Content Screening: Understanding and Managing Mechanistic Data to Better Predict Toxicity,lation to using automated fluorescence microscopy in order to assess phenotypic changes within cells and, more specifically, how this can be incorporated into the drug discovery process..We discuss the advantages that HCS can offer, whilst highlighting important factors to take into account when con

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A Systems Toxicology Approach to Investigating the Cardiovascular Effects of Cigarette Smoke and Enhe effects of combustion-derived PM in the .-deficient mouse, a model of atherosclerosis that has proven to be a powerful in vivo surrogate for vascular disease in humans. A number of studies have been conducted in which the effects of diesel and gasoline exhausts, cigarette smoke, and concentrated

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1557-2153 eries, .Computational Systems Toxicology. includes the kind of key practical advice that will aid readers in furthering our knowledge of toxic substances and reactions to them..978-1-4939-5003-4978-1-4939-2778-4Series ISSN 1557-2153 Series E-ISSN 1940-6053

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The Adverse Outcome Pathway: A Conceptual Framework to Support Toxicity Testing in the Twenty-Firstway-based approach using in vitro assay systems and modeling where possible. Adverse Outcome Pathways (AOPs) provide a conceptual framework that can be used to link in vitro assay results to whole animal effects in a pathway context. AOPs are defined and examples are provided to demonstrate key char

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Metabolic Pathway Databases: A Word of Caution,, far from trivial to accurately represent all this knowledge in a format suitable for a wide range of computational analyses. Nevertheless, many research groups have taken up this challenge, inspired by the great value and potential of pathway databases. Nowadays, these databases are routinely used

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