Drug-Drug Interactions Predictions Using BiLSTM

Various methods are innovated in the field of bioinformatics and drug discovery. The recent papers on drug discovery [23,25], insisted many ideas to the researchers of that field. In the field of drug discovery, ANN plays a vital role to differentiate drug discovery, Machine Learning and Deep Learning. These methods were used to predict interactions between D-D, T-T, D-T means Drug-Drug, Target-Target, Drug-Target interactions. In Machine Learning prediction is made by use of the Multilayer Perceptron, Decision Trees, Random Forest, Support Vector Machines and Naïve Bayes methods. In the other hand, Deep Learning make use of LSTM (Long Short Term Memory), GRUs and Transformers. Among all the methods, we are planned to implement BiLSTM with RDkit to predict the interactions between any two drugs.