In general, my lab's research focuses on mixed computational-experimental approaches to the structural and functional understanding of and control over the molecular machinery of the cell. We are developing algorithms and systems to automatically plan experiments, predict outcomes, interpret data, revise models, and so forth. The figures below point to pages with high-level descriptions of some of our current projects.

This work is funded in part by the following:

  • An NSF III grant "Integration, Prediction, and Generation of Mixed Mode Information using Graphical Models, with Applications to Protein-Protein Interactions", collaborative with Naren Ramakrishnan (Va. Tech), Chris Langmead (CMU), and Alan Friedman (Purdue)
  • A Comp-X grant from the Neukom Institute, to C. Bailey-Kellogg and K. Griswold (Engineering, Dartmouth).
  • An NIH R01: "Automated NMR Assignment and Protein Structure Determination" to B.R. Donald (Duke).
  • An Alfred P. Sloan Research Fellowship, to C. Bailey-Kellogg.
  • A grant from the NSF SEIII program: "Integration of Multimodal Experiments for Protein Structure", to C. Bailey-Kellogg, B.A. Craig (Statistics, Purdue) and A.M. Friedman (Biological Sciences, Purdue).

We gratefully acknowledge previous support from the following:

  • An NSF CAREER award: "Sparse Spatial Reasoning for High-Throughput Protein Structure Determination", to C. Bailey-Kellogg.
  • An award from the Showalter Foundation: "Distribution Functions of Standard Free Energies of Protein-Protein Association", to C. Bailey-Kellogg and M. Laskowski (Chemistry, Purdue).
  • A grant from Purdue's Computing Research Institute, through the PRF-SIRG program: "Multimodal Discrimination of Protein Fold", to C. Bailey-Kellogg and A. Friedman (Biological Sciences, Purdue).

Current projects