“…Numerous scholars have proposed various methods to forecast the changes in binding free energy (BFE) resulting from mutations, including the TopNetTree model [ 5 ], MutaBind2 method [ 6 ], SAAMBE-SEQ method [ 7 ], SAAMBE-3D method [ 8 ], and so on. A study [ 9 ] used a bioinformatics molecular docking approach to predict the impact of the angiotensin-converting enzyme 2 (ACE2) receptor when interacting with the receptor binding domain (RBD) of five new coronavirus variants (Alpha, Beta, Gamma, Delta, and Omicron). The results showed that these variants can alter the interaction of S and human ACE2 proteins, lose or create new interprotein contacts, enhance viral fitness by increasing binding affinity, and increase infectivity, virulence, and transmissibility.…”