Differences between gnina's and Glide's output poses required further development of the featurization pipeline as Glide produces poses with hydrogens placed to maximize hydrogen bonding and alters the tautomeric form of the ligand to form salt bridges with the protein. We overcame these differences by adding hydrogens with RDKit during featurization and detecting salt bridge forming moieties with SMARTS string patterns. Placing the hydrogens in this manner ignores the location of hydrogen bond-forming donors and acceptors on the receptor; this likely decreases the strength of the hydrogen bonds seen in Open-ComBind in comparison to ComBind. We see that the Hydrogen bond similarities do not add information over only utilizing the CNNscore in Figures and?, despite the fact that there are many hydrogen bonds detected in the benchmark dataset (Table ??). The usage of SMARTS string patterns for detection of salt bridges may also decrease the information provided by salt bridge similarity for increasing pose selection performance, but it is difficult to be sure as salt bridges are a rare occurrence in the benchmark dataset (Table ??).