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World Functional Proteomics MarketsPublished by: Frost & Sullivan Published: Sep. 29, 2003 Table of Contents1. Executive Summary 1. Summary 1. Presentation 2. Introduction 1. Overview 1. Functional Proteomics Market Overview 2. Market Measurements 3. Market Snapshot 2. Market Dynamics 1. Market Drivers a. Desire to Understand Cell Signaling Pathways Drives Interest in Protein Function b. Success of Functional Proteomics Studies Drives Adoption c. Genomic Information Availability Strengthens Understanding of Proteins d. Search for Novel Targets Spurs Protein Interactions Research e. Identifying Function of Unknown Genes Spurs Functional Proteomics Research f. Determining New Roles for Characterized Genes Stokes Interest in Functional Proteomics g. Growing Need to Identify Mechanisms Regulating Protein Activity Expands Activity in Functional Studies h. Establishment and Expanding Use of Protein Interaction Networks Ignite Interaction Research i. Large Scale Systems Biology Studies Cultivate Increased Post Translational Modification Interest j. Interaction Information Availability Drives Protein Function Understanding k. Interaction Mapping Initiatives Drive Need for Interaction Tools l. Improved Technology and Ease of Use Bolsters Installed Base m. Biological Importance of Post-Translational Modifications Drives Increased Research n. High Throughput Factors Ignite Increased Usage of Computational Applications o. Comprehensive Search Tools Inspire Adoption of Informatics Techniques p. Increasing Number of Data Mining Tools Bolster Market 2. Market Restraints a. Organism Complexity Slows Map Development b. Protein Multitasking Restrains Protein Function Annotation c. Inability to Predict All Protein Factors Restrains Advanced Software Solutions d. Complex Protein Chemistry Restrains Manufacture of Protein Interaction Chips e. Limited Availability of Protein Capture Agents Restrains Product Development f. False Positives Restrict Confidence in Interaction Studies g. Low Ability to Visualize Multiple Interactions Strains Research Development h. Expertise Required for Tool Operation Encumbers Adoption 3. Market Challenges a. High Complexity of Protein Interaction Webs Hinders Increased Understanding b. False Positives Concerning Protein Function Thwart Research Development c. Difficulties in Protein Modifications Detection Constrain Studies d. Low Valuation of Functional Proteomics Impedes Spending e. Time Required for Interaction Validation Strains Throughput Increases f. Sample Preparation Inadequacies Result in Insignificant Data g. Inconsistencies and Contradictions in Data Retard Further Confidence h. High Expertise Level Needed for Functional Studies Deters Adoption i. Reduced Availability of Functional Proteomics Scientists Encumbers Research Throughput j. Cautiousness Regarding Proteomics Technologies Strains Markets k. High Price of Proteomics Equipment Controls Market Growth l. Insufficient Technology Utilization Limits Total Protein Function Understanding 4. Market Strategies 5. Demand Analysis 6. Product Analysis 7. Pricing Analysis 8. Trends 3. Revenue Forecast 1. Revenue Forecasts 2. Risk Analysis 3. Protein-Protein Interactions 1. Introduction 1. Overview 2. Market Engineering Measurements 2. Market Dynamics 1. Market Drivers a. Search for Novel Targets Spurs Protein Interactions Research b. Establishment and Expanding Use of Protein Interaction Networks Ignite Interaction Research c. Interaction Information Availability Drives Protein Function Understanding d. Interaction Mapping Initiatives Drive Need for Interaction Tools e. Improved Technology and Ease of Use Bolster Installed Base 2. Market Restraints a. Complex Protein Chemistry Restrains Complexity of Protein Interaction Chips b. Limited Availability of Protein Samples Restrains Product Development c. False Positives Restrict Confidence in Interaction Studies d. Low Ability to Visualize Multiple Interactions Strains Research Development e. Expertise Required for Tool Operation Encumbers Adoption 3. Demand Analysis 3. Competitive Structure and Revenue Forecasts 1. Competitive Structure 2. Revenue Discussion 4. Post-Translational Modifications 1. Introduction 1. Overview 2. Market Engineering Measurements 2. Market Dynamics 1. Market Drivers a. Biological Importance of Post-Translational Modifications Drives Increased Research b. Large Scale Systems Biology Studies Cultivate Increased Post-Translational Modification Interest 2. Market Restraints a. Organism Complexity Slows Map Development b. Complex Protein Chemistry Restrains Manufacture of Protein Interaction Chips c. Limited Availability of Protein Samples Restrain Product Development 3. Demand Analysis 3. Competitive Structure and Revenue Forecast 1. Competitive Structure 2. Revenue Discussion 5. Informatics 1. Introduction 1. Overview 2. Market Engineering Measurements 2. Market Dynamics 1. Market Drivers a. High Throughput Factors Ignite Increased Usage of Computational Applications b. Comprehensive Search Tools Inspires Adoption of Informatics Techniques c. Increasing Number of Data Mining Tools Bolsters Market 2. Market Restraints a. Protein Multitasking Restrains Protein Function Annotation b. Inability to Predict All Protein Factors Restrains Advanced Software Solutions c. False Positives Restrict Confidence in Interaction Studies 3. Demand Analysis 3. Competitive Structure and Revenue Forecast 1. Competitive Structure 2. Revenue Discussion 6. Awards 1. Frost & Sullivan Awards 1. Product Differentiation Innovation 2. Technology Leadership 3. Technology Innovation 4. Product Quality Leadership Award 5. Customer Service Leadership 7. Decision Support Database 1. DSD Tables 1. Biotechnology Patents - USPTO 2. Biotechnology Patents - EPO 3. Proteomics Centers 4. Biotechnology Companies 5. Mass Spectrometrists 6. Government Biotechnology R&D List Of Figures Chapter 2 Functional Proteomics Market: Market Drivers Ranked in Order of Impact (World), 2003-2009 Functional Proteomics Market: Market Restraints Ranked in Order of Impact (World), 2003-2009 Functional Proteomics Market: Impact of Top Industry Challenges (World), 2003-2009 Functional Proteomics Market: Challenges with Corresponding Strategy (World), 2003-2009 Functional Proteomics Market: Revenues by Proteomics Segment (World), 2002-2009 Functional Proteomics Market: Revenue Share by Proteomics Segment (World), 2002-2009 Functional Proteomics Market: Revenue Forecasts (World), 2002-2009 Functional Proteomics Market: Market Share Trends by Technology (World), 2002-2003 Functional Proteomics Market: Revenues and Growth per Segment (World), 2002-2009 Functional Proteomics Market: Revenues and Growth per Segment (World), 2002-2009 Chapter 3 Protein-protein Interaction Market: Market Drivers Ranked in Order of Impact (World), 2003-2009 Protein-protein Interaction Market: Market Restraints Ranked in Order of Impact (World), 2003-2009 Protein-protein Interaction Market: Competitive Structure (World), 2002 Chapter 4 Post Translational Modifications Market: Market Drivers Ranked in Order of Impact (World), 2003-2009 Post Translational Modifications Market: Market Restraints Ranked in Order of Impact (World), 2003-2009 Post Translational Modifications Market: Competitive Structure (World), 2002 Chapter 5 Functional Proteomics Informatics Market: Market Drivers Ranked in Order of Impact (World), 2003-2009 Functional Proteomics Informatics Market: Market Restraints Ranked in Order of Impact (World), 2003-2009 Functional Proteomics Informatics Market: Competitive Structure (World), 2002 AbstractComplicated Protein Network of Organisms Slows Development of Interaction Map Researchers across the world are showing greater interest in developing a vast knowledge-base of functional proteomics, similar to what they have accomplished for genomics. However, complex protein network in biological systems are posing significant challenges in their study of protein function and subsequent development of protein interaction map. They are also facing a daunting task of proving that 'in vitro' production of proteins during post-translational modifications is an accurate representation of 'in vivo' production of proteins. This is despite the fact that many expression systems have produced modification patterns very similar to that of humans. This research on the world functional proteomics market probes the various steps involved in protein function determination apart from providing a thorough examination of three key market segments: protein-protein interactions, post-translational modifications, and informatics tools used for protein function analysis. Desire to Understand Cell Signaling Pathways Drives Interest in Protein Function Disrupted protein activities are the likely cause of many diseases that can be controlled by protein modifications. However, it is impossible to modify protein activity to the point of canceling the signaling mechanism completely. The need to accurately understand these situations is driving greater interest in protein functional determination studies. A flurry of development is expected in the near future, as prospects of understanding cell pathways and the manner in which cells communicate are increasing. "Functional proteomics has enabled researchers and companies to gain a novel and deeper understanding of cell systems and pathway properties," says the analyst. "This is likely to provide an insight into the disease mechanisms, leading to new therapeutic regimens for combating diseases." In addition, a thorough knowledge of pathways is expected to be helpful in minimizing the side effects of drug treatments. High Emphasis on Validation of Data The generation of protein-protein interactions has led to the development of interaction databases. The development of data in the functional proteomics market is a highly complex, throughput process and different results are likely from the same sample due to the differential factors used in data generation. Due to this, a greater emphasis is being placed on the validation of data, which is often much more time consuming than conducting the initial experiments. "Time consumption for validation can be reduced drastically with the application of stricter validation measures to data prior to incorporation of results in the database and silico tools," says the analyst. "Technological advancements that can enable generation of more accurate data initially and also increase the throughput of validation experiments while decreasing the need for validation itself are likely to shape future growth."
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