How to choose among the three scoring functions available in X-Score?
There are three empirical scoring functions implemented in X-Score, namely HPScore, HMScore, and HSScore. They only differ in the algorithm for calculating the hydrophobic effect term. Statistically, the accuracy of these scoring functions is comparable to each other, at least for the protein-ligand complex set we have used for developing X-Score. By default, all the three scoring functions are enabled and the final result is the average of three predictions. This practice is consistent with the consensus scoring strategy and is generally acceptable. However, it is also possible that, for the protein you are studying, one particular scoring function performs better than the other two. In such a situation, using that scoring function alone may lead to even better results. You may want to perform a test run first to figure out which scoring function performs better for your target. Started from version 1.2, users are also allowed to set the coefficients in each scoring function. You may
