Prediction of Membrane Protein Interaction Based on Deep Residual Learning

Abstract

The interaction of membrane proteins in organisms is directly related to their functions. Accurate prediction of membrane protein interaction can better predict its spatial structure. Therefore, it is of great significance to study the interaction of membrane proteins. Currently, there is no contact method specifically for membrane protein prediction. In this paper, a membrane protein prediction tool based on deep residual learning is established. Combined with the transformation of the covariance matrix, it can well predict the interaction of membrane proteins. Compared with other methods, the experimental data and results of this model are more accurate.