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.
Neglecting it often results in poor docking pose predictions, particularly in real-world scenarios. Employing coarse-grained protein models to address this issue appears to be a promising strategy.