Systems biology in drug discovery and development / edited by Daniel L. Young, Seth Michelson.
Contributor(s): Young, Daniel L [editor.] | Michelson, Seth [editor.].Material type: BookSeries: Wiley series on technologies for the pharmaceutical industry: Publisher: Hoboken, N.J. : Wiley, 2011Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780470261231; 0470261234; 9781118016435; 1118016432; 9781118016411; 1118016416.Subject(s): Drug development | Systems biology | MEDICAL -- Drug Guides | MEDICAL -- Nursing -- Pharmacology | MEDICAL -- Pharmacology | MEDICAL -- Pharmacy | Drug development | Systems biology | Drug Discovery -- methods | Models, Biological | Pharmacokinetics | Pharmacological Phenomena | Systems Biology -- methodsGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: No titleDDC classification: 615/.19 Online resources: Wiley Online Library
Includes bibliographical references.
This is the first comprehensive systems biology book to focus on its applications in drug discovery and development. Using real-world examples, the book shows how systems biology can be used to enhance pharmaceutical research and drug development. It highlights essential components of drug discovery like target identification and validation and complementary systems approaches like text-mining, large multi-context datasets and regression modeling. It also provides models for treatment personalization and methods for applying systems biology to pharmacokinetics, pharmacodynamics, and candidate biomarker indentification. Introducing key methods and technical approaches the book addresses the challenges currently facing the drug industry.
Print version record.
Frontmatter -- Color Plates -- Introduction to Systems Biology in Approach. Introduction to Systems Biology in Drug Discovery and Development / Seth Michelson, Daniel L Young -- Methods for Biology: Model Construction and Analysis / Theresa Yuraszeck, Peter Chang, Kalyan Gayen, Eric Kwei, Henry Mirsky, Francis J Doyle -- Methods in Biology: Modeling Feedback Dynamics in Pathways / Peter Wellstead, Olaf Wolkenhauer -- Simulation of Population Variability in Pharmacokinetics / Jiansong Yang -- Applications to Drug Discovery. Applications of Systems Biology Approaches to Target Identification and Validation in Drug Discovery / Bart S Hendriks -- Lead Identification and Optimization / Seth Michelson -- Role of Core Biological Motifs in Dose₆Response Modeling: An Example with Switchlike Circuits / Sudin Bhattacharya, Qiang Zhang, Melvin E Andersen -- Mechanism-Based Pharmacokinetic₆Pharmacodynamic Modeling During Discovery and Early Development / Hans Peter Grimm, Ying Ou, Micaela Reddy, Pascale David-Pierson, Thierry Lav̌ -- Applications to Drug Development. Developing Oncology Drugs Using Virtual Patients of Vascular Tumor Diseases / Zvia Agur, Naamah Bloch, Boris Gorelik, Marina Kleiman, Yuri Kogan, Yael Sagi, D Sidransky, Yael Ronen -- Systems Modeling Applied to Candidate Biomarker Identification / Ananth Kadambi, Daniel L Young, Kapil Gadkar -- Simulating Clinical Trials / Tom Parke -- Synergies with other Technologies. Pathway Analysis in Drug Discovery / Anton Yuryev -- Functional Mapping for Predicting Drug Response and Enabling Personalized Medicine / Yao Li, Wei Hou, Wei Zhao, Kwangmi Ahn, Rongling Wu -- Future Outlook for Systems Biology / Daniel L Young, Seth Michelson -- Index.
Introduction to systems biology in drug discovery and development -- Methods for in silico biology : model construction and analysis -- Methods in in silico biology : modeling feedback dynamics in pathways -- Simulation of population variability in pharmacokinetics -- Applications of systems biology approaches to target identification and validation in drug discovery -- Lead identification and optimization -- The role of core biological motifs in dose-response modeling : an example with switch-like circuits -- Mechanism based pharmacokinetic-pharmacodynamic modeling during discovery and early development -- Developing oncology drugs using virtual patients of vascular tumor diseases -- Systems modeling applied to candidate biomarker identification -- Simulating clinical trials -- Pathway analysis in drug discovery -- Functional mapping for predicting drug response and enabling personalized medicine -- Future outlook of systems biology.