Evaluation of consensus scoring methods for AutoDock Vina, smina and idock.

We investigated the application of consensus scoring using the freely available and open source structure-based virtual screening docking programs AutoDock Vina, smina and idock. These individual programs and several simple consensus scoring methods were tested for their ability to identify hits against 20 DUD-E benchmark targets using the AUC and EF1 metrics. We found that all of the consensus scoring methods, however normalized, fared worse, on average, than simply using the output from a single program, smina. Additionally, the effect of a significant increase in the run time of all three programs was tested to find if a longer run time yielded improved results. Our results indicated that a longer run time than the default had little impact on the performance of these three programs or on consensus scoring methods based on their output. Thus, we have found that using the smina program alone at default settings is the best approach for researchers that do not have access to a suite of commercial docking software packages. Image 1 • Consensus scoring using Vina, smina and idock was no better than smina alone. • Increasing the run length from the default did not improve performance. • The min consensus method led to the best consensus scoring results. • The method of normalization of data had no effect on the consensus scoring results. [ABSTRACT FROM AUTHOR]