DIMACS Workshop on Sequence, Structure and Systems Approaches to Predict Protein Function

May 3 - 5, 2006
DIMACS Center, CoRE Building, Rutgers University

Organizers:

Anna Panchenko, NIH, panch@mail.nih.gov

Teresa Przytycka, NIH, przytyck@mail.nih.gov

Mona Singh, Princeton University, mona@CS.Princeton.EDU

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).

Slides:

• Reka Albert, Pennsylvania State University
  Modeling the dynamics and function of cellular interaction networks

• Jacques Chomilier, University of Paris
  Towards the prediction of residues involved in the folding nucleus of proteins

• Mark B Gerstein, Yale University
  Using Molecular Networks to Understand Protein Function on a Genome Scale

• Eugene Koonin, National Center for Biotechnology Information
  Unifying measures of gene function and evolution

• Michal Linial, The Hebrew University, Israel
  Annotation and Inference, New genomes, New functions

• Leonid Mirny, MIT
  What does a protein need to work?

• Christine Orengo, University College London
  Exploiting Structural and Comparative Genomics to Reveal Protein Functions

• Teresa Przytycka, NCBI, NLM, and NIH
  Towards uncovering dynamics of protein interaction networks

• Burkhard Rost, Columbia University
  Evolution teaches protein function prediction

• Kimmen Sjölander, University of California, Berkeley
  Structural phylogenomic inference of protein function

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