Transformer-based protein interaction prediction research
The study of protein interactions(PPIs)is of great significance in biology,and the study of protein interactions and their interaction types is essential for understanding cell biological processes in normal and disease states,thereby aiding the iden-tification of therapeutic targets and the design of new drugs.In this paper,aiming at the problem that the prediction accuracy of tra-ditional protein interaction prediction models is not high enough,a Transformer-based model TPPI is proposed to predict protein in-teractions.The results of the five-fold cross-validation experiment show that the prediction accuracy of the model on the human pro-tein dataset is 0.944,showing good prediction accuracy.
NETL
NSTL
万方数据
