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Industrialization of Drug Discovery
The drug discovery and development process is getting longer, more expensive, and no better. The industry suffers from the same clinical attrition and safety-related market withdrawal rates today as it did 20 years ago. Industrialization of Drug Discovery: From Target Selection Through Lead Optimization scrutinizes these problems in detail, contras
Phage Display In Biotechnology and Drug Discovery
The first and only guide to showcase the impact of phage display technology on drug discovery, this reference details the theories, principles, and methods impacting the field and demonstrates applications for peptide phage display, protein phage display, and the development of novel antibodies. Highlighting the current and future role of phage dis
In Silico Technologies in Drug Target Identification and Validation
The pharmaceutical industry relies on numerous well-designed experiments involving high-throughput techniques and in silico approaches to analyze potential drug targets. These in silico methods are often predictive, yielding faster and less expensive analyses than traditional in vivo or in vitro procedures. In Silico Technologies in Drug Target Ide
Biochips as Pathways to Drug Discovery
In the fiercely competitive pharmaceutical marketplace, your organization cannot afford to spend excess dollars developing drugs that will fail to get FDA approval or have profoundly poor characteristics. Biochips as Pathways to Drug Discovery takes a comprehensive look at how the industry faces these challenges, using new technologies such as bioc
Data Mining in Biomedicine
This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data mining techniques to real-life problems in medical practice; comprehensive reviews of recent trends in the field. The book addresses incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.
Functional Informatics in Drug Discovery
Integrating various technologies with informational systems provides vast improvements to the overall research and development that occur in the biopharmaceutical industry. One of the first books to explore this area, Functional Informatics in Drug Discovery examines all aspects of technology integration and information flow in a biopharmaceutical
Microarray Innovations
In recent years, high-density DNA microarrays have revolutionized biomedical research and drug discovery efforts by the pharmaceutical industry. Their efficacy in identifying and prioritizing drug targets based on their ability to confirm a large number of gene expression measurements in parallel has become a key element in drug discovery. Microarr
G Protein-Coupled Receptors in Drug Discovery
The broad range of G protein-coupled receptors (GPCRs) encompasses all areas of modern medicine and have an enormous impact on the process of drug development. Using disease-oriented methods to cover everything from screening to expression and crystallization, G Protein-Coupled Receptors in Drug Discovery describes the physiological roles of GPCRs
Functional Protein Microarrays in Drug Discovery
An ideal text for biotechnologists, protein chemists, and biochemists, Functional Protein Microarrays in Drug Discovery explores all aspects of functional protein microarrays, including basic principles, methods, and applications. The book discusses the generation of functional protein content and describes both standard and state-of-the-art fabrication methods. It reviews current and next generation approaches to assay detection and presents a wide range of applications, from biomolecular interaction discovery and characterization to immune response profiling. The book also addresses several fundamental computational issues, bioinformatics and data analysis.
Methods in Microarray Normalization
This organized text compiles, for the first time, the most useful normalization methods developed for interpreting microarray data. Experts examine the mathematical processes that are important in normalizing data and avoiding inherent systematic biases. They also review modern software, including discussions on key algorithms, comparative data, and download locations. The book contains the latest microarray innovations from companies such as Agilent, Affymetrix, and GeneGo as well as new, readily adaptable normalization methods for expression and CGH arrays. It also lists of open-source molecular profiling normalization algorithms available and where to access them.
