About the Book:
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 Identification and Validation addresses the challenge of testing a growing number of new potential targets and reviews currently available in silico approaches for identifying and validating these targets. The book emphasizes computational tools, public and commercial databases, mathematical methods, and software for interpreting complex experimental data. The book describes how these tools are used to visualize a target structure, identify binding sites, and predict behavior. World-renowned researchers cover many topics not typically found in most informatics books, including functional annotation, siRNA design, pathways, text mining, ontologies, systems biology, database management, data pipelining, and pharmacogenomics.
· Presents the most recent trends based on significant advances made in genomics, proteomics, and bioinformatics since the 1970s
· Examines genomic correlations between different organisms and various models that simulate disease progression in humans
· Details the components of BioIT hardware configuration and architecture requirements, a key tool for supporting in silico research
· Reviews the numerous tools, initiatives, projects, and standards for ontologies and how they can be used in the drug discovery process
· Provides examples and tables to illustrate the use of a particular technology as well as recommended books, journal articles, and Web sites for further information
Contents:
Part I: Target Identification
1. Introduction
2. Pattern Matching
3. Tools for Computational Protein Annotation and Functional Assignment
4. The Impact of Genetic Variation on Drug Discovery and Development
5. Mining of Gene Expression Data
Part II: Target Validation
6. Text Mining
7. Pathways and Networks
8. Molecular Interactions: Learning from Protein Complexes
9. In Silico siRNA Design
10. Predicting Protein Subcellular Localization Using Intelligent Systems
11. Three-Dimensional Structures in Target Discovery and Validation
PART III: Recent Trends
12. Comparative Genomics
13. Pharmacogenomics
14. Target Identification and Validation Using Human Simulation Models
15. Using Protein Targets for In Silico Structure-Based Drug Discovery
PART IV: Computational Infrastructure
16. Database Management
17. BioIT Hardware Configuration
18. BioIT Architecture: Software Architecture for Bioinformatics Research
19. Workflows and Data Pipelines
20. Ontologies
About the Editors:
Darryl Leo’n, Ph. D., is currently director of bioinformatics marketing at SciTegic in San Diego, California, where he provides the vision software requirements for bioinformatics-related products. He is also on the Bioinformatics Advisory Committee for the university of California San Diego Extension. Previously, he was director of life sciences at LION Bioscience, and was a bioinformatics scientist at NetGenics, DoubleTwist, and Genset. He was a faculty member at California Polytechnic State University, San Luis Obispo, and has authored several papers. He is a co-author, with Scott Markel, of Sequence Analysis in a Nutshell: A Guide to Common Tools and Databases. He has also taught at the University of California Santa Cruz Extension and at other colleges in northern California. Dr. Leon received his Ph.D. in biochemistry from the University of California-San Diego, and he did his postdoctoral research at the University of California-Santa Cruz.
Scott Markel, Ph.D., is the principal bioinformatics architect at SciTegic, a division of Accelrys. In this role he is responsible for the design and implementation of SciTegic’s bioinformatics products. He is a member of the Board of Directors of the International Society for Computational Biology. He was most recently a research fellow and principal architech at LION Bioscience, where he was responsible for providing architectural direction in the development of software for the life science, including the use and development of standards. He was member of the Board of Directors of the Object Management Group and co-chair of the Life Science Research Domain Task Force. Prior to working at LION, Scott worked at NetGenics, Johnson & Johnson Pharmaceutical Research & Development, and Sarnoff Corporation. He has a Ph. D. in mathematics from the University of Wisconsin-Madison. He is a co-author, with Darryl Leon, of Sequence Analysis in a Nutshell: A Guide to Common Tools and Databases.
