Predictor@Home

What is Predictor@home?

Predictor@home is a world-community experiment and effort to use distributed world-wide-web volunteer resources to assemble a supercomputer able to predict protein structure from protein sequence. Our work is aimed at testing and evaluating new algorithms and methods of protein structure prediction. We recently performed such tests in the context of the Sixth Biannual CASP (Critical Assessment of Techniques for Protein Structure Prediction) experiment, and now need to continue this development and testing with applications to real biological targets. Our goal is to utilize these approaches together with the immense computer power that can be harnessed through the internet and volunteers all over the world (you!) to address critical biomedical questions of protein-related diseases. Predictor@home is a pilot project of the Berkeley Open Infrastructure for Network Computing (BOINC)


12/21/04 - An update from Professor Charles L. Brooks, III: Update

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News

07/07/08

The P@H server will be offline several times between July 7th and July 14th. We are moving into our new office space.

05/27/08

Project Status Update
Currently P@H is offline. We are in the process of establishing ourselves at the University of Michigan. Our group has just purchased a large computation cluster (1776 cores). We are in the process of interviewing candidates for the 20 open postdoctoral possitions in our group. It does not look like our currently staff will have the resources to run P@H.
Periodically we will be creating workunits to test ideas. This will not be happening on a regular basis. For those of you who would like to stay attached please note that any test workunits will have a high probability of failure.

03/30/08

I've created some test workunits. The tests will answer two questions. First, is the server correctly configured for operations at the University of Michigan. Second, How big a difference is there is results returned from different CPU's and does that difference warrent that Homogeneous Redundancy be turned on.


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Supported by the NIH
Center for Multiscale Modeling Tools in Molecular Biology (MMTSB)
and the NSF
Center for Theoretical Biological Physics (CTBP)
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