However, in most of the cases, neglecting it leads to poor docking results in terms of binding pose prediction in real-world settings. Using coarse grained protein models to overcome this problem seems to be a promising approach.
In most cases, failing to account for it leads to suboptimal docking pose predictions, especially when applied to real-world settings. Using simplified protein models seems like a viable solution to overcome this problem.