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Bioinformatics Opportunities: Business models, trends and future challengesPublished by: Digital Vector Published: Nov. 1, 2004 - 274 Pages Table of ContentsINTRODUCTION BIOTECHNOLOGY DEFINED TISSUE CULTURE CELL FUSION EMBRYO TRANSFER RECOMBINANT DNA TECHNOLOGY APPLICATIONS OF BIOTECHNOLOGY HEALTHCARE AGRICULTURAL BIOTECHNOLOGY THE HUMAN GENOME PROJECT (HGP) GOALS OF THE HUMAN GENOME PROJECT BENEFITS OF THE HUMAN GENOME PROJECT GENOMICS ROLE OF IT DATA MANAGEMENT EXPERIMENTATION, SIMULATION AND INFORMATION RESEARCH EFFICIENCY INFORMATICS DEFINITION & ROLE OF BIOINFORMATICS TYPES OF DATA AND BIOINFORMATICS APPLICATIONS HISTORICAL PERSPECTIVE CURRENT STATE FUNCTIONS OF INFORMATICS SOFTWARE INDUSTRY CHARACTERISTICS TARGET MARKETS FOR INFORMATICS SOFTWARE STEPS INVOLVED IN BRINGING A DRUG TO MARKET COSTS INCURRED IN DEVELOPING A NEW DRUG INDUSTRY DRIVERS AND CHALLENGES INDUSTRY RISKS PRODUCTS, PROCESSES & TOOLS OF BIOINFORMATICS PRODUCTS OF BIOINFORMATICS BIOINFORMATICS PROCESSES INFORMATICS TOOLS AND FUNCTIONALITIES ROLE OF BIOINFORMATICS IN THE BIOTECHNOLOGY VALUE CHAIN BIOINFORMATICS MARKET SEGMENTS DATABASE HARDWARE SOFTWARE BIOINFORMATICS SERVICES BIOINFORMATICS MARKET SIZE METHODOLOGY SALES AND R&D IT BUDGET PROJECTED BIOINFORMATICS MARKET SIZE BIOINFORMATICS MARKET BREAK-UP BIOINFORMATICS BUSINESS MODELS CHANGING BUSINESS MODELS COMPETITION FOR PURE PLAY INFORMATICS FIRMS NONPROFIT ORGANIZATIONS IN-HOUSE BIOINFORMATICS SOLUTIONS LARGE IT COMPANIES BIOINFORMATICS TARGET SCIENTIFIC DISCIPLINES COMPARATIVE GENOMICS PHARMACOGENOMICS FUNCTIONAL GENOMICS PROTEOMICS STRUCTURAL GENOMICS IMAGE INFORMATICS CLINICAL TRIAL INFORMATICS BIOINFORMATICS ARCHITECTURE BIOINFORMATICS APPLICATIONS DATA SEARCH TOOLS DATA VISUALIZATION TOOLS DATA MINING AND CLUSTERING APPLICATIONS ENTERPRISE SOLUTIONS DATAWAREHOUSING EVALUATION OF BIOINFORMATIC SOLUTIONS REQUIREMENTS STUDY SHORTLISTING THE OPTIONS SCORING PATTERNS PERFORMANCE DATA STORAGE DATA MANAGEMENT IN DRUG DISCOVERY KEY ISSUES IN BIOINFORMATICS STORAGE CONVERGENCE OF INDUSTRIES PROTEINS AS A DRIVER BIOTECH ALLIANCES CURRENT BIOINFORMATICS RESEARCH PATENTING BIOINFORMATICS ALGORITHMS CURRENT STATE OF THE INDUSTRY THE FUTURE TRENDS FOR THE FUTURE KEY APPLICATIONS OF THE FUTURE List of Tables Table 1: Leading Biotechnology companies Table 2: Data source and Bioinformatic Investigations Table 3: Drivers and challenges of the Bioinformatics industry Table 4: Bioinformatics courses on offer Table 5: Web based Bioinformatics courses on offer Table 6 - Bioinformatics activities, sub activities and key players Table 7: Alliances between IT/Telecom and Biotechnology firms List of Figures Figure 2: Number of Venture Capital deals in biotechnology Figure 3: Equity investments in biotechnology during year 2001 Figure 4: Informatics applications along the drug discovery value chain Figure 5: Bioinformatics software functionalities Figure 6: Growth of GenBank Figure 7: EMBL Database Growth Figure 8: Steps involved in bringing a drug to market Figure 9: Break up of the total costs in developing a new drug ($ US Million) Figure 10: Role of Bioinformatics in the biotechnology value chain Figure 11: Worldwide projected sales and R&D Expenditure ($ US Billion) Figure 12: Worldwide projected growth in IT Budget ($ US Billion) Figure 13: Worldwide projected Bioinformatics market ($ US Billion) Figure 14: Worldwide Bioinformatics market break-up ($ US Billion) Figure 15: Steps of a Proteomics experiment Figure 16: Bioinformatics Architecture Vendor Profiles 1. 3RD MILLENIUM INC. (WWW.3RDMIL.COM) 2. ACCELRYS (WWW.ACCELRYS.COM) 3. ACLARA (WWW.ACLARA.COM) 4. AGILENT TECHNOLOGIES (WWW.AGILENT.COM) 5. ALGONOMICS (WWW.ALGONOMICS.COM) 6. AFFYMETRIX (WWW.AFFYMETRIX.COM) 7. ALKAMI BIOSYSTEMS (WWW.ALKAMI.COM) 8. ANVIL (WWW.ANVILINFORMATICS.COM) 9. BIODISCOVERY (WWW.BIODISCOVERY.COM) 10. BIOINFORMATICS SOLUTIONS (WWW.BIOINFORMATICSSOLUTIONS.COM) 11. BIOSENTIENTS (WWW.BIOSENTIENTS.COM) 12. BIOTOOLS INC. (WWW.BIOTOOLS.COM) 13. BLACKSTONE COMPUTING (WWW.BLACKSTONECOMPUTING.COM) 14. CELERA (WWW.CELERA.COM) 15. COMPUGEN (WWW.CGEN.COM) 16. CURAGEN (WWW.CURAGEN.COM) 17. DECODON (WWW.DECODON.COM) 18. DISCOVERY PARTNERS INTERNATIONAL (WWW.DISCOVERYPARTNERS.COM) 19. GENEDATA (WWW.GENEDATA.COM) 20. GENE LOGIC (WWW.GENELOGIC.COM) 21. GENODYSSEE (WWW.GENODYSSE.COM) 22. GENOMICS COLLABORATIVE (WWW.GENOMICSINC.COM) 23. GENOMIC SOLUTIONS (WWW.GENOMICSOLUTIONS.COM) 24. GEOSPIZA (WWW.GEOSPIZA.COM) 25. IMAGING RESEARCH (WWW.IMAGINGRESEARCH.COM) 26. INCYTE (WWW.INCYTE.COM) 27. INFORMAX (WWW.INFORMAXINC.COM) 28. KSHEMA TECHNOLOGIES (WWW.KSHEMA.COM) 29. LABSTREAM (WWW.LABSTREAM.COM) 30. LION BIOSCIENCE (WWW.LIONBIOSCIENCE.COM) 31. MOLECULAR MINING (WWW.MOLECULARMINING.COM) 32. NEXUS GENOMICS (WWW.NEXUSGENOMICS.COM) 33. PARACEL (WWW.PARACEL.COM) 34. PARTEK (WWW.PARTEK.COM) 35. ROSETTA INPHARMICS (WWW.RII.COM) 36. SILCON GENETICS (WWW.SILICONGENETICS.COM) 37. SPOTFIRE (WWW.SPOTFIRE.COM) 38. STRAND GENOMICS PVT. LTD. (WWW.STRANDGENOMICS.COM) 39. STRUCTURAL BIOINFORMATICS INC. (WWW.STRUBIX.COM) 40. THIRD WAVE TECHNOLOGIES (WWW.TWT.COM) 41. TIMELOGIC (WWW.TIMELOGIC.COM) 42. TRIPOS (WWW.TRIPOS.COM) 43. TURBOGENOMICS (WWW.TURBOGENOMICS.COM) AbstractWith vast amounts of information being generated due to advancements in biotechnology, there arises a need to effectively control and manage the information so generated. Information Technology provides a mechanism more popularly known as bioinformatics, which facilitates this process. Information technology (IT) has become a critical factor in pharmaceutical research and development (R&D). Bioinformatics is the computerassisted data management discipline that helps us gather, analyze, and represent information in order to educate ourselves, understand life’s processes in the healthy and disease states, and find new or better drugs. This field has exploded out of the world of molecular biology and the Human Genome Project. Pharmaceutical companies are achieving increased research efficiency by the introduction of new approaches to the design, synthesis, screening and optimization of drug candidates. IT is an important support function for all of those activities and there are certain functions and operations that cannot be performed without IT. Informatics represents the deployment of Information Technology to manage, analyze, and store biological data. Beyond data management, informatics represents the only way to analyze large pools of genomic information. Informatics finds application in Target Validation, Lead Optimization, Exploratory development etc.Bioinformatics plays a key role in functionalities such as gather, store, classify, analyze, and distribute biological information derived from sequencing and functional analysis projects. In Bioinformatics, the real long-term value lies in converting the data into useful therapeutics and hence efforts are on to make the bioinformatics tools as standardized and easy as possible, which is similar to the development of standardized computer operating systems. Most publicly held informatics companies had initial public offerings in the second half of 2000. Since then, the biotechnology index hassuffered a major setback, and informatics stocks have reacted in sympathy mostly to the downside. Growth in the informatics industry is largely contingent on continued spending on drug discovery. The market for Bioinformatics isn’t large enough to support a company built around one or two high-cost software programs targeted to a relatively small user group. As we assess the market or potential market of Bioinformatics we must consider the strategies effective to reach different, or all, parts of the potential market. Strategies focused at the high margin big Pharma market (limited in opportunities) or strategies designed to embrace all biological scientist (but of reduced or variable margin). Also, certain bioinformatics-based companies are leveraging their technologies to become fully integrated drug discovery operations. Other bioinformatics companies are merging with drug discovery companies, resulting in a substitute technological approach to drug development. The convergence of biotechnology and computing has already resulted in a number of alliances, which could result in mergers between previously distinct industries. In future, we may see a combination of pharmaceutical and computing firms bringing together their research as well as IT capabilities. In future we may see alliances between pharmaceutical, software as well as firms, which have strong marketing capabilities. The field would also witness the entry of new players such as computing and telecommunication firms. The challenge facing bioinformatics researchers is simply making sense of the plethora of genomic data while constantly refining their technology, research approaches. The real opportunities are in finding out how all the shards of information relate to one another, and what this means for real world applications.
Recognizing bioinformatics as
central to accelerating drug discovery, big
pharma and biotech firms are expected to
invest heavily in internal capabilities, or
meet their needs through outsourcing. As the
market matures, collaborative industry
initiatives may drive even more
bioinformatics demand. Innovation will
depend on the integration of databases
across functions and across companies. |
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