Computational Systems Toxicology
This detailed volume explores key state-of-the-art computational applications that are crucial in Systems Toxicology. The recent technological developments in experimental biology and multi-omics measurements that enable Systems Biology and Systems
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Julia Hoeng Manuel C. Peitsch Editors
Computational Systems Toxicology
METHODS AND
IN
P H A R M A C O LO G Y
T O X I C O LO G Y
Series Editor Y. James Kang University of Louisville School of Medicine Prospect, Kentucky, USA
For further volumes: http://www.springer.com/series/7653
Computational Systems Toxicology Edited by
Julia Hoeng and Manuel C. Peitsch Philip Morris International R&D, Neuchâtel, Switzerland
Editors Julia Hoeng Philip Morris International R&D Neuchâtel, Switzerland
Manuel C. Peitsch Philip Morris International R&D Neuchâtel, Switzerland
ISSN 1557-2153 ISSN 1940-6053 (electronic) Methods in Pharmacology and Toxicology ISBN 978-1-4939-2777-7 ISBN 978-1-4939-2778-4 (eBook) DOI 10.1007/978-1-4939-2778-4 Library of Congress Control Number: 2015943591 Springer New York Heidelberg Dordrecht London © Springer Science+Business Media New York 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Cover illustration: Art by Dr. Stephanie Boue Printed on acid-free paper Humana Press is a brand of Springer Springer Science+Business Media LLC New York is part of Springer Science+Business Media (www.springer.com)
Preface Humans are exposed to a multitude of substances such as manufactured products, therapeutic agents, or environmental toxicants that perturb essential biological mechanisms and can thereby cause adverse effects or disease. Assessing the potential risks to human health posed by exposure to the multitude of synthetic as well as naturally occurring chemicals of industrial interest is a daunting task which is often hampered by the limitations of the classical toxicology paradigm. Indeed, classical toxicity testing primarily relies on a collection of studies that evaluate observable apical endpoints in whole animals and a limited number of easy to handle cellular systems. The approach is based primarily on a coarse quantification of clinical signs or pathologic changes that can be indicative of a disease state. In addition, this approach is reso
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