Research Informatics for Drug DiscoveryPublished by: AdvanceTech Monitor Published: Oct. 1, 2000 - 230 Pages Table of Contents1. Introduction
1.2 The Drivers of R&D Transformation 1.3 The Information Spine 1.4 Changing the Wheels of a Moving Car 1.5 Democratizing Business Strategy
2.2 Enterprise Software Solutions Create a Framework for Modernized R&D 2.3 Requirements for a Bioinformatics Framework 2.4 Integration of Data Sources and Analytical Tools 2.5 Enterprise Software Solution Architecture 2.6 Conclusion
3.2 Integrated Teams Create Competitive Advantage 3.3 The Business Dimensional Life Cycle 3.4 Understanding the Organization 3.5 Defining Project Scope 3.6 Managing the Scope 3.7 The Integrated Team 3.8 Define the Business Requirements 3.9 Approaches to Data Modeling 3.10 How to Build a Database System on the Business Dimensional Model 3.11 Impact of Data Access Tools 3.12 Last Words on Implementation
4.2 Material Management Process 4.3 Common Bottlenecks and a Novel Solution 4.4 Reagent Procurement and Management 4.5 E-Commerce and RES 4.6 Inventory Control 4.7 Regulatory Compliance and Waste Management 4.8 Procurement Costs 4.9 Substance Management 4.10 Conclusion
5.2 Sustaining Productivity of Drug Discovery Number of NCEs in the Pipeline is Accelerating Explosion of Data: It Really is Different Focused Strategies - Choosing Compounds and Therapeutic Areas 5.3 Increasing Commercial Value Requires a Comprehensive Performance Metrics & Management Framework 5.4 Leveraging Research Informatics to Improve Innovation, Productivity and Speed 5.5 Key Strategic Issues in Research and Discovery - Why Promising Candidates Fail What Technologies Can Reduce Bottlenecks? 5.6 Redesigning the Discovery Development Interface 5.7 Discovery IT Strategy for Creating Competitive Advantage Solutions Remain Fragmented at Most Companies-Integration is the Trend 5.8 Central Role of Knowledge Management in Discovery 5.9 Conclusion 5.10 Questions & Answers
6.2 Implications of New Pharmaceutical Discovery Technologies 6.3 Pharmaceutical Company Project Integration 6.4 Two-Tiered Pharmaceutical IT Infrastructure 6.5 Powerful "Live" Report Capability 6.6 Exploiting Information toward Project Management and Competitive Advantage 6.7 Challenges Facing Informatics 6.8 Change Management Issues
7.2 Licensing IP is an Important Part of Development 7.3 Typical Development Project Review Questions 7.4 IP Visualization to Improve Discovery, Development and Licensing Performance 7.5 Conclusion
8.2 Cornerstones of Decision Support 8.3 Access 8.4 Analysis 8.5 Publish 8.6 Product Intelligence for the Extended Enterprise 8.7 Benefits of Data Integration, Mining and Visualization 8.8 Partnerships to Expand the Capability of Analytical Tools 8.9 Conclusion
9.2 Text Visualization 9.3 Numerical Data Analysis 9.4 Coupling Experiments to Each Other and to the Literature 9.5 Value Proposition for Data Visualization 9.6 Conclusion
10.2 Growth is Attended by Inefficiencies 10.3 History and Development of the Chemoinformatics Business Rules Manager 10.4 The CBRM System for Standardizing Chemical Databases 10.5 Conclusion
11.2 Information Integration 11.3 The Basics of "Good" Information 11.4 Data Integration 11.5 Informatics In Action 11.6 Tripos: Life Science Informatics
12.2 The Key to R&D Transformation: Improving the Information Spine 12.3 The Virtual Database Solution 12.4 Focus on Infrastructure while Developing Partnerships for Application Development 12.5 Conclusion
13.2 Efficiencies Realized - The Greater Task Ahead 13.3 Creating Standards is Key to Realizing Data Integration 13.4 Answering the Standardization Challenge Will Pave the Way for Molecular Modeling Informatics 13.5 Demonstrating the Power of Data Integration in Molecular Modeling and Activity Prediction 13.6 A Web-based Format for Integrating Molecular Modeling into an Informatics Environment 13.7 Conclusion
14.2 Thought Experiment - Lost Knowledge 14.3 Evaluation of Knowledge Management Platforms 14.4 Pharmaceutical Data and Knowledge 14.5 Implementation of Knowledge Management 14.6 Knowledge Management for Workflow Support 14.7 Target Selection and Identification 14.8 Conclusion
15.2 Applications of Genomics to Optimizing Target Selection 15.3 Complexity of Gene Expression Requires Use of Complete Genomic Information 15.4 Resolving Genetic Variation at the Genomic and Cellular Level 15.5 Conclusion
16.2 LION and bioSCOUT® Technology 16.3 SRS Technology 16.4 Corporate Data Integration and LION Consulting 16.5 Bridging Biological and Chemical Data 16.6 Conclusion
17.2 Building a Multi-Disciplinary Design and Implementation Team 17.3 Planning 17.4 Workflow 17.5 Standards 17.6 Technology 17.7 Assuring Quality and Efficiency with Clinical Informatics 17.8 Conclusion
18.2 Information-Based Drug Discovery Value Chain 18.3 The Challenge of Research Informatics 18.4 Integrating New Technologies 18.5 The Role of Research Informatics 18.6 The Problem: IT Infrastructure 18.7 The Solution: Application Service Providers 18.8 Advantages of Full-Service ASP 18.9 A Life Science ASP Model 18.10 The Pharmaceutical R&D Business Environment 18.11 Genome Informatics Infrastructure 18.12 Cost Effectiveness of Off-Site Hosting 18.13 Conclusion
19.2 Pathway Modeling Objectives 19.3 Defining Biological Activity 19.4 Disease Progression Model 19.5 Stratification of Patients versus Diseases 19.6 Modeling Pathways and Disease Processes 19.7 Adding Literature to Clinical Data 19.8 Genomic Screening and Disease Management
20.2 Consortium Architecture, Physical and Virtual, Sets the Stage for Collaboration 20.3 A Definition of Informatics from the Industry 20.4 Information Asset Management - Intellectual Property Example 20.5 Defining the Information Assets for the Discovery Consortium 20.6 Conclusion
AbstractThis report addresses information technologies to optimize the discovery-development interface, knowledge-driven R&D, the information spine, data integration, data manipulation, the data-warehouse controversy and other debates, such as discovery (exploratory) versus development (confirmatory) data.Get full details about this report >> |
|
|
|
About MarketResearch.com
|
||

