This announcement solicits papers and referees for a special track on the prediction of protein structure, to be held as part of the Pacific Symposium on Biocomputing (PSB-99), Hawaii, January 4-9, 1999.
Papers addressing any area of protein structure prediction are welcome. The track will emphasize techniques amenable to entire genomes. The availability of genome-scale data is changing the basis for the computational analysis of biological systems, and organizational patterns previously obscured by limited data sets now are becoming apparent. The opportunity to relate sequence, structure, and function at the full organism level is at hand.
Preferred papers should describe approaches that lead to testable protein structure predictions and which could provide information useful for protein function prediction. Predictive accuracy should be quantified and compared. Controls for homology and cross-validation should be stated explicitly. We especially encourage papers that test theories with experimental results across a large diverse set of proteins, and which are applied to full genomes, exploit genome-scale data sets, provide novel genomic analyses, or otherwise reflect protein structure prediction in the post genomic era.
Referees willing to contribute expertise in protein structure prediction should contact Dr. Skolnick, e-mail: email@example.com
Full paper submission and publication is required for oral presentations. Each full paper will be reviewed by at least three independent referees. Accepted papers will be published in a hard-bound archival proceedings, and the best of these will be presented orally to the entire conference. Poster and demo sessions are available for researchers who wish to exhibit their work at PSB, but do not wish to prepare a paper.
Physical submittors should send five copies of their paper to:
Papers may be up to 12 single spaced pages, and must use our supplied format, available from ftp://ftp-smi.stanford.edu/pub/altman/psb. Each paper must be accompanied by a cover letter stating that it contains original unpublished results not currently under consideration elsewhere and that all co-authors concur with its contents.
Papers and abstracts may be submitted electronically. Contact Russ Altman (firstname.lastname@example.org) for additional information.