Systems Biology Application in Synthetic Biology
This book introduces students to methods that will help them understand behaviour in terms of cellular components and their interactions in non-intuitive ways, which calls for an interdisciplinary approach combining mathematical, chemical, computatio
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Systems Biology Application in Synthetic Biology
Systems Biology Application in Synthetic Biology
Shailza Singh Editor
Systems Biology Application in Synthetic Biology
Editor Shailza Singh Computational and Systems Biology Lab National Centre for Cell Science Pune, India
ISBN 978-81-322-2807-3 ISBN 978-81-322-2809-7 DOI 10.1007/978-81-322-2809-7
(eBook)
Library of Congress Control Number: 2016952540 © Springer India 2016 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. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer (India) Pvt. Ltd.
Preface
Systems and synthetic biology is an investigative and constructive means of understanding the complexities of biology. Discovery of restriction nucleases by Werner Arber, Hamilton Smith, and Daniel Nathans in 1978 revolutionized the way DNA recombinant constructs were made and how individual genes were analyzed for its function and vitality. It also opened the doors to a new era of “synthetic biology” where apart from analysis and description of existing gene, new gene arrangements can be constructed and evaluated. Since then, synthetic biology has emerged from biology as a distinct discipline that quantifies the dynamic physiological processes in the cell in response to a stimulus. Switches, oscillators, digital logic gates, filters, modular – interoperable memory devices, counters, sensors, and protein scaffolds are some of the classic design principles based on which many more novel synthetic gene circuits can be created with possible application in biosensors, biofuels, disease diagnostics, and therapies. Most of these gene networks combine one or more classes of controller components, such as conditional DNA-binding proteins, induced-protein dimerization, RNA controllers, and rewired cell-surface receptors, to modulate transcription and translation that alters protein function and stability. An iterative design cycle involving molecular and computational
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