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

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https://doi.org/10.1007/978-3-031-27338-4ir evaluation in the context of causal network models. After the five-step strategy for biological impact quantification has been described in some detail, its application in a concrete case of a mouse smoking-cessation experiment is presented. The results show how mechanistic insights into the pote

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https://doi.org/10.1007/978-3-322-96509-7lation 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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Felix Burgold,Stephan Sonnenburg,Markus Vo?he toxicological effects, attempts to couple deterministic CFD-based aerosol deposition modeling with biological effects via physiologically based pharmacokinetic (PBPK) models are described. Finally, conclusions and the current general trends in the application of CFD to toxicological science are g

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The Adverse Outcome Pathway: A Conceptual Framework to Support Toxicity Testing in the Twenty-First will allow for a better understanding of the linkage of events from a molecular initiating event to a potential adverse outcome, therefore defining key events, AOPs, and even networks of AOPS. While these approaches are indeed very promising, the ability to understand and define key events and key

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Metabolic Pathway Databases: A Word of Caution,r metabolic network..A word of caution is, however, warranted when working with metabolic pathway databases, because no two are alike. Databases have different ways of representing a metabolic network in a digital format and they define concepts like a pathway differently. Moreover, the breadth and

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Causal Biological Network Database: A Comprehensive Platform of Causal Biological Network Models Fon, tissue repair, and angiogenesis, all in the context of the pulmonary and vascular systems. With specific biological boundaries, multiple types of gene-centric entities, literature support at edge level, and interactive visualization, the CBN Database offers a coherent illustration of important bi

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Data Sources for Signature Discovery in Toxicology,ology, and toxic endpoints, and representing them in a form of biological pathways for underlying toxic endpoints. A unique module connected to ToxWiz knowledge base represents a hand-curated database of gene expression signatures. This module contains a good size collection of 1000 unique toxicity

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Data Management and Processing in Toxicoinformatics: From Chemical Databases to Automatic Extractioable in an electronic readable format for further processing. Thus, in addition to an overview of chemical representation and resources, short overviews of the current status of information extraction techniques are given and a suitable network representation for compound-target interactions is desc