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{bio,medical} informatics

Wednesday, June 20, 2001

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find related articles. powered by google. Wired News Protein Researchers Get New Tools

"An Israeli company founded by an elite group of former military engineers is transforming the way scientists look at genes and proteins.

Compugen (CGEN) on Wednesday released two new "proteomics" products: one to help researchers find proteins more accurately, and one to help them look at proteins in various disease states."

Compugen's "black box," what Ma'ayan likes to call their algorithm, translates the raw mass spec data in to a meaningful list of proteins that researchers can query against a publicly available protein database, or, for a fee, against Compugen's own protein database."

find related articles. powered by google. Forbes Proteins Are Back To Confuse Investors

"Scientists thought about trying to catalogue all the proteins in the body a decade ago.

But it seemed impossible, and was therefore impossible to fund. Researchers moved on to the much simpler job of sequencing the human genome.

They were right to do so. Cataloguing proteins turns out to be downright confusing. Lately, more and more biotech companies are entering a field they call "proteomics," an ugly word searching for a focus group."

redux [03.31.01]
find related articles. powered by google. The Scientist Is a Human Proteome Project Next?
[requires 'free' registration]

"A commonly expressed opinion is that a single Human Proteome Project can never match HGP's success. Eric S. Lander , director of the Whitehead Center for Genome Research in Cambridge, Mass., notes that biologists simply don't know how to characterize the proteome "from end to end, nailing every protein. The tools are not ready. And it's not clear that [such a project] makes sense." He contrasts proteomics to HGP where "there is a certain fixed number of base pairs--about three billion--and we were going to get them all. And so it had a beginning and an end to it."

[ rhetoric ]

Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.


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