UC San Diego computer scientists just received an NIH grant to help clean up "the mass spec data mess". (
San Diego Untion Tribune clip here)
It's easy to blast apart proteins with mass spectrometers and generate huge amounts of data comprised of all the little protein pieces. It is much harder to put those pieces back together in order to figure out what proteins (and protein modifications) are present in biological samples such as blood and tumors.) UCSD engineers are doing just that...using computational tools, and they just secured an almost $5M NIH grant to keep up the good work and create the software and cyberinfrastructure to enable scientists around the world to take advantage of their algorithmic breakthroughs. More info below and at the links provided.UC San Diego engineers and scientists have received a five-year $4.94M grant from the National Center for Research Resources (
NCRR), a part of NIH,
to develop algorithms and software for deciphering all the proteins that are present in biological samples. This “
proteomics” work promises to revolutionize routine blood tests, vaccine development, cancer diagnostics, and many other
important biomedical challenges, says
Pavel Pevzner, the
UC San Diego Jacobs School of Engineering computer science professor leading the project. (Read the
UCSD release here and
the NIH press release here)
"
Unanalyzed data from mass spectrometers is piling up in laboratories around the world. Our algorithms can turn much of these ‘dark’ data into the lists of modified proteins that researchers are looking for,” says
Nuno Bandeira, the first executive director of the
Center for Computational Mass Spectrometry at UCSD’s Jacobs School of Engineering.
Key collaborators on the new grant are Jacobs School of Engineering computer science professors
Vineet Bafna and
Ingolf Krueger as well as
Steven Briggs, a professor of biology at UCSD’s
Division of Biological Sciences.
Genetic Engineering News also picked up the story.