Predicting protein interaction sites is crucial for tasks such as constructing protein interaction networks, analyzing protein functions, studying molecular-level pathology, and designing novel drugs.

To solve the time-variant Sylvester equation, in 2013, Li et al. proposed the zeroing neural network with sign-bi-power function (ZNN-SBPF) model via constructing a nonlinear activation function. In ...