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| Author | : Sam Thiagalingam |
| Publisher | : Cambridge University Press |
| Total Pages | : 597 |
| Release | : 2015-04-09 |
| Genre | : Mathematics |
| ISBN | : 0521493390 |
An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.
| Author | : Qing Yan |
| Publisher | : Humana Press |
| Total Pages | : 0 |
| Release | : 2010-09-21 |
| Genre | : Medical |
| ISBN | : 9781607617990 |
Due to the failing “one-drug-fits-all” model, it has become increasingly necessary to develop personalized medicine that treats whole systems and brings the right drug to the right patient with the right dosages. In Systems Biology in Drug Discovery and Development: Methods and Protocols, leading experts provide a practical, state-of-the-art, and holistic view of the translation of systems biology into better drug discovery and personalized medical practice. While the first part of the book describes cutting-edge technologies and methods in the field, the second part illustrates how the technologies can be applied in science for disease understanding and therapeutic discovery. As a volume in the highly successful Methods in Molecular BiologyTM series, this collection provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and up-to-date, Systems Biology in Drug Discovery and Development: Methods and Protocols covers topics from fundamental concepts to advanced technologies in order to best serve biomedical students and professionals at all levels who are interested in vital integrative studies in molecular biology, genetics, bioinformatics, bioengineering, biochemistry, physiology, pathology, microbiology, immunology, pharmacology, toxicology, drug discovery, and clinical medicine.
| Author | : Inna Kuperstein |
| Publisher | : CRC Press |
| Total Pages | : 119 |
| Release | : 2019-09-09 |
| Genre | : Computers |
| ISBN | : 1000682927 |
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 | : Daskalaki, Andriani |
| Publisher | : IGI Global |
| Total Pages | : 982 |
| Release | : 2008-11-30 |
| Genre | : Technology & Engineering |
| ISBN | : 1605660779 |
"This book highlights the use of systems approaches including genomic, cellular, proteomic, metabolomic, bioinformatics, molecular, and biochemical, to address fundamental questions in complex diseases like cancer diabetes but also in ageing"--Provided by publisher.
| Author | : Asfar S Azmi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 425 |
| Release | : 2012-09-29 |
| Genre | : Medical |
| ISBN | : 9400748191 |
Systems Biology in Cancer Research and Drug Discovery provides a unique collection of chapters, by world-class researchers, describing the use of integrated systems biology and network modeling in the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology (i) in understanding aberrant signaling in cancer (ii) in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways (iii) in unwinding microRNAs complexity and (iv) in anticancer drug discovery and in clinical trial design. This book reviews the state-of-the-art knowledge and touches upon cutting edge newer and improved applications especially in the area of network modeling. It is aimed at an audience ranging from students, academics, basic researcher and clinicians in cancer research. This book is expected to benefit the field of translational cancer medicine by bridging the gap between basic researchers, computational biologists and clinicians who have one ultimate goal and that is to defeat cancer.
| Author | : William T. Loging |
| Publisher | : Cambridge University Press |
| Total Pages | : 255 |
| Release | : 2016-03-17 |
| Genre | : Computers |
| ISBN | : 0521768004 |
A comprehensive overview of the use of computational biology approaches in the drug discovery and development process.
| Author | : Daniel L. Young |
| Publisher | : John Wiley & Sons |
| Total Pages | : 398 |
| Release | : 2011-09-23 |
| Genre | : Medical |
| ISBN | : 1118016424 |
The first book to focus on comprehensive systems biology as applied to drug discovery and development Drawing on real-life examples, Systems Biology in Drug Discovery and Development presents practical applications of systems biology to the multiple phases of drug discovery and development. This book explains how the integration of knowledge from multiple sources, and the models that best represent that integration, inform the drug research processes that are most relevant to the pharmaceutical and biotechnology industries. The first book to focus on comprehensive systems biology and its applications in drug discovery and development, it offers comprehensive and multidisciplinary coverage of all phases of discovery and design, including target identification and validation, lead identification and optimization, and clinical trial design and execution, as well as the complementary systems approaches that make these processes more efficient. It also provides models for applying systems biology to pharmacokinetics, pharmacodynamics, and candidate biomarker identification. Introducing and explaining key methods and technical approaches to the use of comprehensive systems biology on drug development, the book addresses the challenges currently facing the pharmaceutical industry. As a result, it is essential reading for pharmaceutical and biotech scientists, pharmacologists, computational modelers, bioinformaticians, and graduate students in systems biology, pharmaceutical science, and other related fields.
| Author | : Institute of Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 354 |
| Release | : 2012-09-13 |
| Genre | : Science |
| ISBN | : 0309224187 |
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
| Author | : Asfar Azmi |
| Publisher | : Academic Press |
| Total Pages | : 458 |
| Release | : 2018-11-13 |
| Genre | : Medical |
| ISBN | : 9780128103241 |
Molecular Diagnostics and Treatment of Pancreatic Cancer describes the different emerging applications of systems biology and how it is shaping modern pancreatic cancer research. This book begins by introducing the current state of the art knowledge, trends in diagnostics, progress in disease model systems as well as new treatment and palliative care strategies in pancreatic cancer. Specific sections are dedicated to enlighten the readers to newer discoveries that have emerged from gene expression profiling, proteomics, metabolomics and systems level analyses of pancreatic cancer datasets. First of a kind and novel network strategies to understand oncogenic Kras signaling in pancreatic tumors are presented. The attempts to computationally model and prioritize microRNAs that cause pancreatic cancer resistance are also highlighted. Addressing this important area, Molecular Diagnostics and Treatment of Pancreatic Cancer provides insights into important network evaluation methodologies related to pancreatic cancer related microRNAs targetome. There are dedicated chapters on critical aspects of the evolving yet controversial field of pancreatic cancer stems cells. The work concludes by discussing the applications of network sciences in pancreatic cancer drug discovery and clinical trial design. Encompasses discussion of innovative tools including expression signatures in cell lines, 3D models, animal xenograft models, primary models and patient derived samples, aiding subversion of traditional biology paradigms, and enhancing comprehension across conventional length and temporal scales Coverage includes novel applications in targeted drugs, polypharmacology, network pharmacology and other related drug development arenas - helping researchers in pancreatic cancer drug discovery Summarizes many relevant computational and clinical references from fast-evolving literature Comprehensive glossary helps newer readers understand technical terms and specialized nomenclature
| Author | : Monika Schäfer-Korting |
| Publisher | : Springer Nature |
| Total Pages | : 325 |
| Release | : 2021-03-25 |
| Genre | : Medical |
| ISBN | : 3030700631 |
This book provides latest findings in organotypic models in drug development and provides the scientific resonance needed in an emerging field of research in disciplines, such as molecular medicine, physiology, and pathophysiology. Today the research on human-based test systems has gained major interest and funding in the EU and the US has increased over the last years. Moreover, so-called 3R (reduce, replace, refine animal experiments) centres have been established worldwide.
