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Computerise Biology
 

FOR centuries, biology has been an empirical field that featured mostly specimens and Petri dishes. Over the past five years, however, computers have changed the discipline—as they have harnessed the data on genetics for the pursuit of cures for disease. Wet lab processes that took weeks to complete are giving way to digital research done in silico. Notebooks with jotted comments, measurements and drawings have yielded to terabyte storehouses of genetic and chemical data. And empirical estimates are being replaced by mathematical exactness.

Welcome to the world of bioinformatics—a branch of computing concerned with the acquisition, storage and analysis of biological data. Once an obscure part of computer science, bioinformatics has become a linchpin of biotechnology's progress. In the struggle for speed and agility, bioinformatics offers unparalleled efficiency through mathematical modelling. In the quest for new drugs, it promises new ways to look at biology through data mining. And it is the only practical way of making sense of the ensuing deluge of data.

The changes wrought by computers in biology resemble those in the aircraft and car industries a decade or so ago, after the arrival of powerful software for CAD (computer-aided design) and CFD (computational fluid dynamics). In both industries, engineers embraced the new computational modelling tools as a way of designing products faster, more cheaply and more accurately. In a similar way, biotech firms are now looking to computer modelling, data mining and high-throughput screening to help them discover drugs more efficiently.

In the process, biology and, more specifically, biopharmacy has become one of the biggest consumers of computing power, demanding petaflops (thousands of trillions of floating-point operations per second) of supercomputing power, and terabytes (trillions of bytes) of storage. Bioinformatics is actually a spectrum of technologies, covering such things as computer architecture (eg, workstations, servers, supercomputers and the like) web designing company , storage and data-management systems, knowledge management and collaboration tools, and the life-science equipment needed to handle biological samples. In 2001, sales of such systems amounted to more than $12 billion worldwide, says International Data Corporation, a research firm in Framingham, Massachusetts. By 2006, the bioinformatics market is expected to be worth $38 billion.

The opportunity has not been lost on information technology (IT) companies hurt by the dotcom bust and telecoms meltdown. Starting in 2000, IBM was the first to launch a dedicated life-sciences division. Since then, a host of other IT firms have jumped aboard the bioinformatics bandwagon. Along with IBM, Sun Microsystems has staked a claim on the computing and management part of the business. Firms such as EMC and Hewlett-Packard have focused on data storage. Agilent, SAP and Siebel provide so-called decision support. Even build-to-order PC makers such as Dell have entered the fray with clusters of cheap machines.

A swarm of small start-up firms has also been drawn in, mostly to supply data, software or services to analyse the new wealth of genetic information. Companies such as Accelrys in San Diego,California, Spotfire in Somerville, Massachusetts, and Xmine in Brisbane, California, are selling software and systems to mine and find hidden relationships buried in data banks. Others such as Open Text of Waterloo, Ontario, and Ipedo in Redwood City, California, have built software that improves communication and knowledge management among different areas of pharmaceutical research. Gene Logic of Gaithersburg, Maryland, has created a business to collect samples and screen their genetic code for proprietary research libraries. And Physiome Sciences of Princeton, New Jersey, is providing computer-based modelling systems that offer an insight into drug targets and disease mechanisms.

Bioinformatics is not for the faint of heart, however. Over the past year, the fortunes of a number of biotechnology firms have faltered, as venture-capital funds have sought alternative investments. Venerable names of biotechnology, including Celera Genomics of Rockville, Maryland, LION Bioscience of Heidelberg, Germany, and others, have found themselves scrambling to change the way they do business. Yet, for all the turbulence in the industry, the bioinformatics juggernaut remains on track, fuelled by new forces changing the pharmaceutical industry.

 

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