Protein Structure Prediction in Biology and Medicine

Call for papers

Protein structure prediction is one of the most active fields in computational biology. The interest in structure prediction is fueled by the extraordinary pace of discovery of new protein sequences in genome sequencing experiments. A third or more of all protein sequences can be assigned folds with existing remote homology detection and fold recognition methods.

The next challenge is to demonstrate that protein fold and structure prediction can indeed contribute to understanding of important biological problems. To do that, we need to develop and demonstrate methods, not only for structure prediction, but also for analyzing our predicted structures in terms of biological function. These two elements must come together, if computational biology is to play a significant role in the genomic revolution.

Having this in mind, we hereby invite contributions focusing on various aspects of protein structure prediction and its application to understanding protein function in the context of important biological problems. We invite contributions addressing:

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Papers will be evaluated and selected for oral presentation and publication in the conference proceedings on the basis of their scientific quality as measured by careful peer review. Papers should follow PSB guidelines (available at ftp://ftp-smi.stanford.edu/pub/altman/psb ) and can be submitted in electronic format to altman@smi.stanford.edu with the designation for "Protein Structure and Function" session by July 13. The Pacific Symposium on Biocomputing is indexed by Medline and is available electronically, so work published herein receives attention and is readily available.

 

Roland Dunbrack Keith Dunker Adam Godzik