RFQ-ANN: Artificial Neural Network Model for Predicting Protein-Protein Interaction Based on Sparse Matrix.

Protein is a complex organic substance with a spatial structure, which exists widely in the body of living things. Almost all living things rely on protein to form an important part of the body, perform many physiological function adjustments, and obtain energy. Without protein, there is no life. Most of these functions of proteins are realized by the interaction between proteins. The occurrence of many diseases is also closely related to protein-protein interactions (PPIs). Therefore, research on PPIs is crucial for many fields such as clinical medicine. We propose a new method RFQ-ANN to predict PPIs, and verify the instability of the artificial neural network (ANN) model in making predictions by changing the number of hidden layers. Experiments have shown that it is not that the more hidden layers, the better.