Overview
- Reviews synthetic biology and systems biology approaches in cancer biology
- Explores applications of engineered biotherapeutics in cancer treatment
- Examines the use of synthetic engineering for modeling cancer system
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
This book presents the applications of systems biology and synthetic biology in cancer medicine. It highlights the use of computational and mathematical models to decipher the complexity of cancer heterogeneity. The book emphasizes the modeling approaches for predicting behavior of cancer cells, tissues in context of drug response, and angiogenesis. It introduces cell-based therapies for the treatment of various cancers and reviews the role of neural networks for drug response prediction. Further, it examines the system biology approaches for the identification of medicinal plants in cancer drug discovery. It explores the opportunities for metabolic engineering in the realm of cancer research towards development of new cancer therapies based on metabolically derived targets. Lastly, it discusses the applications of data mining techniques in cancer research. This book is an excellent guide for oncologists and researchers who are involved in the latest cancer research.
Editors and Affiliations
About the editor
Dr. Shailza Singh is serving as Scientist E and in charge of the bioinformatics and high performance computing facility. Her lab focuses on systems and synthetic biology of infectious disease and cancer model systems, wherein she is trying to integrate the action of regulatory circuits, cross talk between pathways, and non-linear kinetics of biochemical processes through mathematical modeling. She is the recipient of several awards such as RGYI, DST-Young Scientist, INSA Bilateral Exchange, and SAKURA Exchange Programme. Dr. Singh is also serving as a reviewer and academic editor of various international journals of repute.
Bibliographic Information
Book Title: Systems Biomedicine Approaches in Cancer Research
Editors: Shailza Singh
DOI: https://doi.org/10.1007/978-981-19-1953-4
Publisher: Springer Singapore
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-19-1952-7Published: 12 August 2022
Softcover ISBN: 978-981-19-1955-8Published: 13 August 2023
eBook ISBN: 978-981-19-1953-4Published: 10 August 2022
Edition Number: 1
Number of Pages: XI, 163
Number of Illustrations: 1 b/w illustrations
Topics: Biotechnology, Biological Techniques, Cancer Research, Bioinformatics