Our data highlight earlier stopping as a particularly promising approach to maximize screening speed-up, especially when utilizing large docking fractions. We also demonstrated the potential of smaller docking fractions, which, albeit in our hands overall providing lower recall (per runtime), recalled the majority of true virtual hits and can thus help to adapt the HASTEN pipeline to scenarios where docking resources are limited. Finally, we outlined practical considerations, such as data shuffling and wall time limitations, and how they influenced our chosen approach. Thus, taking individual computational resources and practical implications into account, and depending on the emphasis of the screening campaign and the desired outcome, HASTEN runs can be tweaked to either maximize the speed or instead focus on maximally improving the recall.