Dr Charles Cooney, Professor, chemical and biochemical engineering at Massachussets Institute of Technology (MIT), points out that bioinformatics could reduce the time and efforts needed for the development of new drugs. Currently, it takes more than a decade and an investment running into millions of dollars to develop a drug acceptable to the medical community. While addressing the international symposium on bioinformatics held in Bangalore in January this year, he said, the challenge in bioinformatics is to "identify the nuggets of useful information against a very large background of noise." On a practical plane, bioinformatics could be imaginatively exploited to help researchers get clues about which experiments to perform. The ultimate objective is to make drug faster and better by identifying appropriate targets and right types of molecules. According to Dr Mathew Woodwark, Global Coordinator for Informatics at Astrazeneca, the bioinformatics portal being operated by his company allowed researchers in any one of its centres to search 120 text databases and 160 sequences databases instantly and provide feedback. Woodwark expressed the opinion that the need for informatics and informaticians would grow rapidly in the years to come. According to Kiran Mazumdar Shaw, chairman of the Bangalore-based biotech company, Biocon, and head of the Karnataka Biotechnology Task Force, India, is in a pre-eminent position in the field of bioinformatics. She said that with India’s strong IT base, it will provide an enormous opportunity for the Indian companies to make rapid strides in the emerging area of bioinformatics. As things stand now, managing and interpreting trillions of bits of data generated by the HGP is the biggest challenge facing life sciences researchers and a major business opportunities for the computing outfits. As such, both hardware and software companies are queuing up to serve the exploding bioinformatics market. The computer giant IBM is in the
meantime halfway through developing the most powerful computer ever
"Blue Gene", designed to study protein folding sequences
inside a human cell. This computer claimed to be many time powerful than
the most powerful supercomputers now in use, takes at least one year to
simulate the hundreds and thousands of sequences involved in protein
folding. |
|