First, Fpocket was chosen because of its speed, but Fpocket has a problem which is associated with all the geometric based methods. It includes any cavity that happens to be big enough as a pocket. This problem is absent in energy-based methods that use a watered dawn docking algorithm to estimate the energy of the surface of the protein thus the surface with the highest energy must correspond to the pocket but these methods are slow. In this study general docking was used to verify PocketMatch results. the similarity results (data not shown) of Nsp12 is 113 similar pair of pockets and the similarity results (data not shown) of main protease 56 similar pair, the number of Nsp12 many pair of similar pair is understandable the Nsp12 is a big protein with approximately 900 amino acids it would have many pockets, therefore, increase the chances of matching a pocket. However, the results of docking are 6 for replicase complex and 8 for the main protease, this because docking is blind to the similarity of pockets. Further, confirm the logic of using docking after pocket similarity.