
Systems Biology in Drug Discovery and Development
Methods and Protocols
Qing Yan(Editor)
Humana Press Inc.
Published on 23. August 2016
Book
Paperback/Softback
XII, 337 pages
978-1-4939-5770-5 (ISBN)
Description
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 BiologyT 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.
Reviews / Votes
From the reviews:
"This book describes state-of-the-art technologies and methods in molecular biology and the necessary integration of data . . The resultant book provides an effective resource for students, biologists, and physicians in multiple disciplines, as well as individuals involved in the drug development process. . This is a very effective and comprehensive guide to the advances in molecular biology methods and computational tools that model complex biological systems as a means to better understand disease mechanisms and identify appropriate drug candidates for individualized therapies." (Rachel Renee Chennault, Doody's Review Service, February, 2011)More details
Series
Edition
Softcover reprint of the original 1st ed. 2010
Language
English
Place of publication
Totowa
United States
Target group
Professional and scholarly
Illustrations
XII, 337 p.
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 20 mm
Weight
663 gr
ISBN-13
978-1-4939-5770-5 (9781493957705)
DOI
10.1007/978-1-60761-800-3
Schweitzer Classification
Other editions
Additional editions

Book
09/2010
Humana Press Inc.
€106.99
Shipment within 15-20 days
Person
Content
Methodologies of Systems Biology in Drug Discovery and Development.- Proteomics and Systems Biology: Application in Drug Discovery and Development.- Systems Biology Approaches and Tools for Analysis of Interactomes and Multi-target Drugs.- Systems Biology "On-the-Fly": SILAC-Based Quantitative Proteomics and RNAi Approach in Drosophila melanogaster.- Systems Biology of Cell Behavior.- Computational Modeling in Systems Biology.- An Introduction to Gaussian Bayesian Networks.- Derivation of Large-Scale Cellular Regulatory Networks from Biological Time Series Data.- Translational Bioinformatics and Systems Biology Approaches for Personalized Medicine.- Systems Biology Methods for Disease Treatment and Translational Medicine.- Systems Biology and Inflammation.- Immunoinformatics and Systems Biology Methods for Personalized Medicine.- Systems Biology Approaches to the Study of Cardiovascular Drugs.- Cancer Systems Biology.- Systemic Lupus Erythematosus: From Genes to Organ Damage.- Systems Biology of Influenza: Understanding Multidimensional Interactions for Personalized Prevention and Treatment.- Methods in Systems Biology of Experimental Methamphetamine Drug Abuse.- Systems Biology and Theranostic Approach to Drug Discovery and Development to Treat Traumatic Brain Injury.- Erratum to: Cancer Systems Biology.- Erratum to: Cancer Systems Biology.