“…Moreover, introducing complex networks to biological systems can provide an intuitive vision and useful insights. Actually, various graph approaches have been successfully used to analyze many important biological problems, such as enzyme-catalyzed reactions [60][61][62][63], protein folding kinetics and folding rates [64,65], inhibition of HIV-1 reverse transcriptase [66,67], non-steady drug metabolism systems [68], evolution of biological sequences [69], and using Wenxiang graphs [70] to analyze protein-protein interactions [71,72]. This is mainly because the local and global properties of complex networks are useful for recognizing complicated interconnections and the information flow between different components in extended systems.…”