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Bioinformatics Opportunities: Business models, trends and future challenges


Description: With 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 computer-assisted 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 has suffered 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.


Contents: Introduction 5Biotechnology Defined 5Tissue Culture 6Cell Fusion 8Embryo Transfer 9Recombinant Dna Technology 9Applications Of Biotechnology 10Healthcare 10Agricultural Biotechnology 13The Human Genome Project (Hgp) 14Goals Of The Human Genome Project 15Benefits Of The Human Genome Project 17Genomics 19Role Of It 20Data Management 24Experimentation, Simulation And Information 25Research Efficiency 26Informatics 27Definition & Role Of Bioinformatics 27Types Of Data And Bioinformatics Applications 33Historical Perspective 34Current State 36Functions Of Informatics Software 36Industry Characteristics 37Target Markets For Informatics Software 37Steps Involved In Bringing A Drug To Market 38Costs Incurred In Developing A New Drug 39Industry Drivers And Challenges 41Industry Risks 44Products, Processes & Tools Of Bioinformatics 49Products Of Bioinformatics 49Bioinformatics Processes 50Informatics Tools And Functionalities 50Role Of Bioinformatics In The Biotechnology Value Chain 51Bioinformatics Market Segments 52Database 52Hardware 52Software 52Bioinformatics Services 53Bioinformatics Market Size 54Methodology 55Sales And R&D 55It Budget 56Projected Bioinformatics Market Size 57Bioinformatics Market Break-Up 58Bioinformatics Business Models 59Changing Business Models 61Competition For Pure Play Informatics Firms 63Nonprofit Organizations 63In-House Bioinformatics Solutions 63Large It Companies 64Bioinformatics Target Scientific Disciplines 65Comparative Genomics 65Pharmacogenomics 66Functional Genomics 66Proteomics 67Structural Genomics 69Image Informatics 70Clinical Trial Informatics 70Bioinformatics Architecture 71Bioinformatics Applications 73Data Search Tools 73Data Visualization Tools 73Data Mining And Clustering Applications 73Enterprise Solutions 74Datawarehousing 74Evaluation Of Bioinformatic Solutions 74Requirements Study 75Shortlisting The Options 75Scoring Patterns 75Performance 78Data Storage 78Data Management In Drug Discovery 79Key Issues In Bioinformatics Storage 80Convergence Of Industries 80Proteins As A Driver 82Biotech Alliances 84Current Bioinformatics Research 84Patenting Bioinformatics Algorithms 85Current State Of The Industry 85The Future 87Trends For The Future 88Key Applications Of The Future 89List of Figures Figure 1: Venture Capital Investments in biotechnology Figure 2: Number of Venture Capital deals in biotechnology Figure 3: Equity investments in biotechnology during year 2001Figure 4: Informatics applications along the drug discovery value chainFigure 5: Bioinformatics software functionalities Figure 6: Growth of GenBankFigure 7: EMBL Database Growth Figure 8: Steps involved in bringing a drug to marketFigure 9: Break up of the total costs in developing a new drug ($ US Million)Figure 10: Role of Bioinformatics in the biotechnology value chainFigure 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 experimentFigure 16: Bioinformatics ArchitectureList of TablesTable 1: Leading Biotechnology companies Table 2: Data source and Bioinformatic InvestigationsTable 3: Drivers and challenges of the Bioinformatics industryTable 4: Bioinformatics courses on offerTable 5: Web based Bioinformatics courses on offerTable 6 – Bioinformatics activities, sub activities and key playersTable 7: Alliances between IT/Telecom and Biotechnology firms


Companies Mentioned Vendor Profiles1. 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)


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