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| [WCG] Member News / HPF2 Update
Hello Everyone,
I'd like to give everyone an update on our HPF1/HPF2 progress. I've been working in the Bonneau lab since September of last year and it's taken me awhile to produce my first update; sorry. It's been complicated getting up to speed, but the ball is rolling and I'm working diligently on validating and analyzing all of the great data you are producing. I was a contributor to the WCG long before I imagined I would be involved in one of its projects. I can assure you that my new perspective has helped me appreciate the great contribution to basic research that we are all making.
The HPF project is an ongoing effort to automatically annotate the genomes of organisms that have importance to the human race with predictions about protein structure and function. It's an effort that could never succeed without the massive amount of computing power you all in the WCG are providing. We're continuing to post-process HPF2 protein predictions and grow our database and research tools for biologists. With every "experiment," or organism, folded on the grid, we're expanding our database, growing our resource, and contributing to the great effort to map and understand the functional units of life.
Of particular interest at the moment is the GOS set we recently folded. These proteins come from the J. Craig Venter Institute's Global Ocean Sampling Expedition. You folded groups of proteins from their expedition that have no known sequence similarity to any previously discovered proteins. Although many computational biology methods rely heavily on sequence similarity, our effort to predict meaningful things about these proteins will rely heavily on the protein structure simulations produced on the World Community Grid. In the coming months we'll be combining evolutionary analysis with these predictions, and any discoveries for these novel proteins will be truely exceptional and ground breaking.
In regards to HPF2's higher resolution protein predictions, and specifically with respect to the GOS dataset, we are seeing an increased yield in high quality structure predictions. The extra computation and resolution is paying off, and we are able to make more predictions about proteins confidently. Despite the scale and scope of the project, we really do appreciate each member's contribution. Thanks again for volunteering for HPF!
Patrick Winters Bonneau Lab
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