Computational Modeling of Signaling Networks
Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In, Computational Modeling of Signaling Networks: Methods
- PDF / 5,982,283 Bytes
- 336 Pages / 504 x 720 pts Page_size
- 81 Downloads / 259 Views
IN
MOLECULAR BIOLOGY
Series Editor John M. Walker School of Life Sciences University of Hertfordshire Hatfield, Hertfordshire, AL10 9AB, UK
For further volumes: http://www.springer.com/series/7651
TM
.
Computational Modeling of Signaling Networks Edited by
Xuedong Liu, Ph.D. Chemistry and Biochemistry, University of Colorado‐Boulder, Boulder, CO, USA
Meredith D. Betterton, Ph.D. Department of Physics, University of Colorado‐Boulder, Boulder, CO, USA
Editors Xuedong Liu, Ph.D. Chemistry and Biochemistry University of Colorado-Boulder Boulder, CO, USA
Meredith D. Betterton, Ph.D. Department of Physics University of Colorado-Boulder Boulder, CO, USA
ISSN 1064-3745 ISSN 1940-6029 (electronic) ISBN 978-1-61779-832-0 ISBN 978-1-61779-833-7 (eBook) DOI 10.1007/978-1-61779-833-7 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2012938529 ª Springer Science+Business Media, LLC 2012 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Humana Press, c/o Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Humana Press is part of Springer Science+Business Media (www.springer.com)
Preface Cells sense their environment largely through the activities of signal transduction networks which regulate diverse aspects of cellular behavior. Signaling outputs are dynamic, extraordinarily complex, and yet highly specific. A comprehensive understanding of how signaling networks behave in space and time to generate specific biological responses is paramount to biology and medicine. Aberrations in signaling networks are associated with many human diseases such as cancer and diabetes. Better understanding of signaling mechanisms can potentially have a major impact on drug design and therapeutics. Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. In the past three decades, the molecular biology approach has dominated the field of signal transduction research. Reductionism—with an emphasis on identifying and characterizing the components of each pathway—is the prevailing philosophy underlying much signaling research. The success of this approach has enabled biologists to enumerate a “parts list” for many signaling pathways. Robust molecular techniques and easy-to-standardize protocols researchers can follow have enabled the application of molecular biology techniques to signaling. Automation of thes
Data Loading...
