The work presented also evaluates AutoGrow4's efficacy as a novel drug-design tool, for it is one of few open-source ligand evolution programs. AutoGrow4 enables discovery at a speed much faster than ex silico experimentation, with the capability to screen thousands of compounds and evolve them into a smaller group of energetically favorable ligands, introducing many possibilities for drug discovery and lead optimization. Although AutoGrow4 works less optimally without extensive knowledge of the target binding pocket and known inhibitors, there is still clear improvement in mean binding affinity across ten generations in our experiment. In addition, most compounds generated by AutoGrow are chemically feasible, and several filters (such as the Lipinski Strict Filter, the Ghose filter, or the VandeWaterbeemd Filter) can customize compound results .