CONFPASS (Conformer Prioritizations
and Analysis for DFT re-optimizations)
has been developed to extract dihedral angle descriptors from conformational
searching outputs, perform clustering, and return a priority list
for density functional theory (DFT) re-optimizations. Evaluations
were conducted with DFT data of the conformers for 150 structurally
diverse molecules, most of which are flexible. CONFPASS gives a confidence
estimate that the global minimum structure has been found, and based
on our dataset, we can have 90% confidence after optimizing half of
the FF structures. Re-optimizing conformers in order of the FF energy
often generates duplicate results; using CONFPASS, the duplication
rate is reduced by a factor of 2 for the first 30% of the re-optimizations,
which include the global minimum structure about 80% of the time.