|CCL 06.05.03 DIMACS Workshop on Sequence, Structure and Systems Approaches to Predict Protein Function, Rutgers U, NJ|
From: chemistry-request at ccl.net
To: chemistry-request at ccl.net
Date: Sun Jan 22 23:20:53 2006
Subject: 06.05.03 DIMACS Workshop on Sequence, Structure and Systems Approaches to Predict Protein Function, Rutgers U, NJ
DIMACS Workshop on Sequence, Structure and Systems Approaches to Predict Protein Function May 3 - 5, 2006 DIMACS Center, CoRE Building, Rutgers University http://dimacs.rutgers.edu/Workshops/ProteinFunction/announcement.html Organizers: Anna Panchenko, NIH, panch|mail.nih.gov Teresa Przytycka, NIH, przytyck|mail.nih.gov Mona Singh, Princeton University, mona|CS.Princeton.EDU Presented under the auspices of the DIMACS/BioMaPS/MB Center Special Focus on Information Processing in Biology. This special focus is jointly sponsored by the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), the Biological, Mathematical, and Physical Sciences Interfaces Institute for Quantitative Biology (BioMaPS), and the Rutgers Center for Molecular Biophysics and Biophysical Chemistry (MB Center). While more than two hundred complete genomes have been sequenced, a large fraction of genes in genomes do not have assigned functions, and elucidation of the biological roles of all unknown gene products remains an elusive goal. In addition to genomic sequence data, in recent years we have witnessed an explosion of structural data, along with large-scale protein network data. This has led to a number of complementary approaches to predict protein function based on heterogeneous data from diverse experimental sources. The goal of such methods is to decrease the amount of time-consuming experimental work necessary to interpret the complexity of genomes and proteomes. In general, protein function can be predicted by the analysis of specific conserved structural and sequence features, by transferring the annotation from experimentally characterized genes to their uncharacterized homologs , by genome context and cross-genomic analysis, and by analyzing proteins within the context of biological networks. Each of these methods faces unique computational and statistical challenges. The goal of the workshop is to bring together biologists, computer scientists and mathematicians who work on various aspects of protein function prediction. This workshop will provide both a venue for reviewing the current state-of-the-art of diverse methods as well as a platform for further cross-fertilization and integration of sequence, structure and systems approaches.NOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED!!!
All @ signs were changed to | to fight spam. Before you send e-mail, you need to change | to @
For example: change joe|big123comp.com to firstname.lastname@example.org
Please let colleagues know about conference listingts at Computational Chemistry List Conference Page at http://www.ccl.net/chemistry/a/conferences/.
Please help: If you find this conference list useful but you noticed some conference missing, please consider including it here by using the Conference Submission Page. It is free but your support is welcome. You will help others!!!
|Modified: Mon Jan 23 04:20:53 2006 GMT|
|Page accessed 3954 times since Mon Jan 23 04:20:53 2006 GMT|
Please help maintain CCL: If you found that your conference is listed here, please consider supporting CCL as a Supporting Member or use other Paid Services of CCL to ensure the continuation of this useful service. We cannot do it without your help.