A simple database of C-13/H-1-C-13 spectral lists for 11673 natural product
s was created in standard commercial database format. Over 50% of the spect
ra were predicted using HOSE code descriptors derived from the 50% of spect
ra having experimental values. Prediction errors obtained by prediction of
and comparison to the experimental spectra revealed an exponentially decayi
ng dependence between the average absolute error and the depth of the match
ing HOSE codes. A subset of the library containing over 1000 H-1-C-13 assig
ned experimental spectral lists were used to test against eight alternate q
uery data sets. These sets represent query data from various combinations o
f 1D-C-13, 1D-DEPT, and 2D-H-1-C-13 spectra. Simulated query lists were gen
erated using Monte Carlo methods. As expected, queries based on 2D-H-1-C-13
data were more likely to find the correct match under unfavorable conditio
ns.