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The method of Probability Density Profile Analysis has been introducedpreviously as a tool to find the best match between a set of experimentallygenerated Residual Dipolar Couplings and a set of known protein structures.While it proved effective on small databases in identifying protein foldfamilies, and for picking the best result from computational protein foldingtool ROBETTA, for larger data sets, more data is required. Here, the method of2-D Probability Density Profile Analysis is presented which incorporates pairedRDC data from 2 alignment media for N-H vectors. The method was tested usingsynthetic RDC data generated with +/-1 Hz error. The results show that theaddition of information from a second alignment medium makes 2-D PDPA a muchmore effective tool that is able to identify a structure from a database of 600protein fold family representatives.

Using Residual Dipolar Couplings from Two Alignment Media to Detect Structural Homology