Structure Calculation Using CS-DP ROSETTA

Introduction

The CS-DP-Rosetta approach (Ref. 1) merges the ideas of model generation using CS-Rosetta with model filtering by agreement to NOESY data via the DP-score from the RPF program to generate high accuracy protein structures.  This hybrid approach uses both local backbone chemical shift data (CS-Rosetta) and unassigned NOESY data (DP-filtering) to direct Rosetta trajectories toward the native structure, producing more accurate models than CS-Rosetta alone.  Given a raw (or refined) NOESY peak list and chemical shift (backbone and extensive sidechain) information, the DP-Score is used as a filter to effectively guide the trajectory of CS-Rosetta decoy generation, significantly reducing the search space. Since the NOESY peak list data are not directly included in structure calculation, CS-DP-Rosetta is much more robust with respect to the quality of these peak lists compared to methods which attempt to assign each NOESY peak to one or more specific interproton interactions.

References

1.  Raman, S., Huang, Y. J., Mao, B., Rossi, P., Aramini, J. M., Liu, G., Montelione, G. T., and Baker, D. (2010) Accurate automated protein NMR structure determination using unassigned NOESY data.  J. Am. Chem. Soc., in press.