where s∗1 and s∗2 are binding sites, t∗1 and t∗2 are target sequences corresponding to s∗1 and s∗2, and λ is the ratio of global information. After the introduction of global information, the kernels are no longer linear. We attempted to estimate the role of global information in the binding procedure by increasing the ratio λ. With the increase of global information (λ), the AUC score first increases, until λ = 0.3, then, the score reaches the maximum and further increasing of global information (λ) would result in the AUC score decreasing (Table 3). Although AUC score varies with λ, it only varies in a narrow range (from 0.916 to 0.922), which implies that the global information only has a limited influence on prediction accuracy.