Cancer Systems Biology (Chapman & Hall/CRC Mathematical and Computational Biology)

Author by : Emmanuel Barillot
Languange Used : en
Release Date : 2012-08-25
Publisher by : CRC Press

ISBN :

Description : The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models-integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencin...

Author by : Inna Kuperstein
Languange Used : en
Release Date : 2019-09-09
Publisher by : CRC Press

ISBN :

Description : Praise for Computational Systems BiologyApproaches in Cancer Research: "Complex concepts are written clearly and with informative illustrations and useful links. The book is enjoyable to read yet provides sufficient depth to serve as a valuable resource for both students and faculty." — Trey Ideker, Professor of Medicine, UC Xan Diego, School of Medicine "This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites." — Yves Moreau, Department of Electrical Engineering, SysBioSys Centre for Computational Systems Biology, University of Leuven With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. The book provides an important reference and teaching material in the field of computational biology in general and cancer systems biology in particular. The book presents a list of modern approaches in systems biology with application to cancer research and beyond. It is structured in a didactic form such that the idea of each approach can easily be grasped from the short text and self-explanatory figures. The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. Features Up to date using a wide range of approaches Applicationexample in each chapter Online resources with useful applications’...

Author by : Edwin Wang
Languange Used : en
Release Date : 2010-05-04
Publisher by : CRC Press

ISBN :

Description : The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis, cancer researchers can uncover a series of new discov...

Author by : Alfredo Cesario
Languange Used : en
Release Date : 2011-08-21
Publisher by : Springer Science & Business Media

ISBN :

Description : This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research....

Author by : Thomas S. Deisboeck
Languange Used : en
Release Date : 2010-12-08
Publisher by : CRC Press

ISBN :

Description : Cancer is a complex disease process that spans multiple scales in space and time. Driven by cutting-edge mathematical and computational techniques, in silico biology provides powerful tools to investigate the mechanistic relationships of genes, cells, and tissues. It enables the creation of experimentally testable hypotheses, the integration of data across scales, and the prediction of tumor progression and treatment outcome (in silico oncology). Drawing on an interdisciplinary group of distinguished international experts, Multiscale Cancer Modeling discusses the scientific and technical expertise necessary to conduct innovative cancer modeling research across scales. It presents contributions from some of the top in silico modeling groups in the United States and Europe. The ultimate goal of multiscale modeling and simulation approaches is their use in clinical practice, such as supporting patient-specific treatment optimization. This volume covers state-of-the-art methods of multiscale cancer modeling and addresses the field’s potential as well as future challenges. It encourages collaborations among researchers in various disciplines to achieve breakthroughs in cancer modeling....

Author by : Juan Hsueh-fen
Languange Used : en
Release Date : 2017-11-29
Publisher by : World Scientific

ISBN :

Description : Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding functional activities from a systems-wide perspective. It provides an iterative process of experimental measurements, data analysis, and computational simulation to model biological behavior. This book provides explained protocols for high-throughput experiments and computational analysis procedures central to cancer systems biology research and education. Readers will learn how to generate and analyze high-throughput data, therapeutic target protein structure modeling and docking simulation for drug discovery. This is the first practical guide for students and scientists who wish to become systems biologists or utilize the approach for cancer research. Contents: Introduction to Cancer Systems Biology (Hsueh-Fen Juan and Hsuan-Cheng Huang)Transcriptome Analysis: Library Construction (Hsin-Yi Chang and Hsueh-Fen Juan)Quantitative Proteome: The Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) (Yi-Hsuan Wu and Hsueh-Fen Juan)Phosphoproteome: Sample Preparation (Chia-Wei Hu and Hsueh-Fen Juan)Transcriptomic Data Analysis: RNA-Seq Analysis Using Galaxy (Chia-Lang Hsu and Chantal Hoi Yin Cheung)Proteomic Data Analysis: Functional Enrichment (Hsin-Yi Chang and Hsueh-Fen Juan)Phosphorylation Data Analysis (Chia-Lang Hsu and Wei-Hsuan Wang)Pathway and Network Analysis (Chen-Tsung Huang and Hsueh-Fen Juan)Dynamic Modeling (Yu-Chao Wang)Protein Structure Modeling (Chia-Hsien Lee and Hsueh-Fen Juan)Docking Simulation (Chia-Hsien Lee and Hsueh-Fen Juan) Readership: Graduate students and researchers entering the cancer systems biology field. Keywords: Systems Biology;Transcriptomics;Proteomics;Network Biology;Dynamic Modeling;Protein Structure Modeling;Docking Simulation;BioinformaticsReview: Key Features: Written by two active researchers in the fieldCovers both experimental and computational areas in cancer systems biologyStep-by-step instructions help beginners who are interested in creating biological data and analyzing the data by themselvesReaders will gain the skills to generate and analyze omics data and discover potential therapeutic targets and drug candidates...

Author by : Yang Kuang
Languange Used : en
Release Date : 2016-06-14
Publisher by : CRC Press

ISBN :

Description : Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models. After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practical, and insightful mathematical models of avascular tumor growth and mathematically tractable treatment models based on ordinary differential equations. It continues the topic of avascular tumor growth in the context of partial differential equation models by incorporating the spatial structure and physiological structure, such as cell size. The book then focuses on the recent active multi-scale modeling efforts on prostate cancer growth and treatment dynamics. It also examines more mechanistically formulated models, including cell quota-based population growth models, with applications to real tumors and validation using clinical data. The remainder of the text presents abundant additional historical, biological, and medical background materials for advanced and specific treatment modeling efforts. Extensively classroom-tested in undergraduate and graduate courses, this self-contained book allows instructors to emphasize specific topics relevant to clinical cancer biology and treatment. It can be used in a variety of ways, including a single-semester undergraduate course, a more ambitious graduate course, or a full-year sequence on mathematical oncology....

Author by :
Languange Used : en
Release Date :
Publisher by :

ISBN :

Description : ...

Author by : Tomas Koltai
Languange Used : en
Release Date : 2021-06-25
Publisher by : Academic Press

ISBN :

Description : Prostate Cancer Metabolism: From Biochemistry to Therapeutics shows the peculiarities of prostate cancer metabolism, emphasizing the targetable aspects – that have not been considered in conventional treatment protocols. The book specifically addresses treatment of the castration-resistant stage of prostate cancer proposing many repurposed drugs and nutraceuticals to complement, not replace, standard therapies. The large body of evidence supporting these concepts makes them deserving of further research and well-designed clinical trials. It discusses lipid, cholesterol, glutamine, and glucose metabolisms and their impact on prostate cancer. Additionally, it explains how current established drugs can be repurposed to improve treatment outcomes. The concepts set out in the book, that deal with cancer at the cellular/molecular level, help identify new avenues of research and treatments to pursue that do not affect well-being whilst offer consistent benefits. Since most practicing physicians have not studied basic biochemistry since medical school, each chapter begins with a brief review of the topic to facilitate an understanding of the metabolically-oriented approach to targeting prostate cancer. Conventional treatments are not discussed here since they are covered in textbooks and specialized updates that abound in the medical literature. It is a valuable resource for cancer researchers, oncologists, clinicians and members of biomedical field who want to learn more about prostate cancer metabolism and how to apply recent findings in the field to bedside. Explains the basic aspects of prostate cancer metabolism, including its biochemistry which has a pivotal role in clinical practice Discusses new drugs and nutraceuticals with a metabolism-centered approach Offers practical bedside approach in combination with molecular and biochemical fundamentals to help readers identify and provide the best treatment to their patients...

Author by : Uri Alon
Languange Used : en
Release Date : 2023-11
Publisher by : Chapman & Hall/CRC Computational Biology Series

ISBN :

Description : Systems Medicine: Physiological Circuits and the Dynamics of Disease introduces the topic of physiological circuits, in which cells and organs communicate with each other. Rather than circuits inside a cell, it discusses circuits between cells. This is the level relevant to the most common and deadly diseases that currently plague humanity. The goal is to start from basic principles or 'laws' and derive why physiology is built the way it is, and why certain diseases happen while others don't. By the end of the book you will be able to use simple but powerful mathematical models to describe physiological circuits. The models are powerful because they turn details into useful understanding and new ways to think about treating diseases. We will understand the fundamental causes of some of the most mysterious diseases: diabetes, autoimmune diseases, and age-related diseases such as lung fibrosis and cancer. The trajectory begins with basic principles. From these are derived circuits and their fragility to disease. The book explores (i) hormone circuits, (ii) immune circuits, and (iii) aging and age-related disease, and culminates in a periodic table of diseases. It is written in a very accessible style, suitable for anyone with a background in biology, engineering, physics, math, engineering, computer science, chemistry or other subjects....