Predicting Drug-Drug Interactions Using Deep Neural Network

Application of Artificial Intelligence in Drug–Drug Interactions Prediction: A Review

“…However, it is important to note that drug−target interaction prediction using machine learning is a dichotomous problem and cannot accurately predict the specific type of action of a drug target. Nonetheless, this approach remains a promising avenue for accelerating the 31 Chemical structural, Side effects Similarity, Logistic regression Undirected DDI Ferdousi et al 32 Carriers, Transporters Enzymes, Targets Similarity, Conventional classifier Undirected DDI Li et al 35 Chemical structural Similarity, Bayesian network Undirected DDI Kim et al 36 Medical terms, Semantic information SVM classifier, Huber loss function, Undirected DDI Cheng et al 37 Chemical structural Phenotypic Similarity, Conventional classifier Undirected DDI Park et al 45 Drug, Protein Similarity, Random walk Undirected DDI Zhang et al 61 Drug features Similarity, Matrix factorization Undirected DDI Rohani et al 51 Drug features Similarity, Matrix factorization Undirected DDI Kastrin et al 62 Chemical structural, Enzymes, Targets, Pathway Neighborhood recommendation, Random walk Undirected DDI Yan et al 38 Chemical structural, Biological, Phenotypic Similarity, RLS classifier Undirected DDI Ryu et al 78 Chemical structural Deep Neural Network, Multitask DDI events Lee et al 79 Chemical structural, Target gene, GO terms Deep Neural Network, Autoencoders DDI events Hou et al 100 Chemical structural Deep Neural Network DDI events Huang et al 101 Chemical structural Similarity, Graph neural networks DDI events Deng et al 12 Chemical structural, Enzymes, Targets, Pathway Similarity, Deep Neural Network DDI events Wang et al 102 Chemical structural, Enzymes, Targets Transformer, Autoencoders DDI events Lyu et al 103 Chemical structural, Enzymes, Targets Knowledge graph, Graph neural networks DDI events Zhu et al 114 Chemical structural Dual-view, Graph neural networks DDI events Deng et al 104 Chemical structural Small-sample learning DDI events Kang et al 105 Chemical structural, Enzymes, Targets, Pathway Deep Neural Network, Graph neural networks DDI events Shao et al 106 Chemical structural, Semantic information Pretrained transformer DDI events Lin et al 107 Drug features Attention, Contrastive learning DDI events Feng et al 29 Chemical drug discovery process and identifying potential therapeutic targets. 109 Zhang et al proposed a method for predicting drug target interactions us...…”

“…In 2019, Hou et al 100 also proposed a deep neural network architecture model. They extracted drug data from DrugBank, built a model using Tensor Flow-GPU, and discovered 80 different types of drug interaction events from 4,432 drug features.…”

A Review of Approaches for Predicting Drug–Drug Interactions Based on Machine Learning

“…To avoid overfitting, The author uses apply dropout of 0.3 and batch normalization to feedforward networks and Autoencoders. Hou et al (2019) proposed the use of DNN to predict DDI, with drugs expressed as a characteristic generated by the SMILE code and entered into a DNN. Yifan et al ( 2020) proposed a DDI multimodal deep-learning framework that predicts DDI event types by combining chemical substructures, targets, enzymes, and pathways with deep learning; four drug characterization vectors were calculated and put into the DNN network for training.…”

A low-cost machine learning framework for predicting drug–drug interactions based on fusion of multiple features and a parameter self-tuning strategy

“…The significant advantages of the proposed framework are summarized in the following points. 32 Chemical substructure, side effects Fix similarity Li et al 33 Chemical substructure Fix similarity Cheng et al 34 Chemical substructure phenotypic Fix similarity Park et al 35 Protein Fix similarity Yan et al 36 Chemical substructure, biological, phenotypic Fix similarity Ryu et al 37 Chemical substructure Deep neural network Hou et al 38 Chemical substructure Deep neural network Huang et al 39 Chemical substructure Deep neural network Deng et al 40 Chemical substructure Fix similarity Deng et al 41 Chemical substructure, enzymes, target, pathway Fix similarity Wang et al 42 Chemical substructure, enzymes, target Transformer Lyu et al 43 Chemical substructure, enzymes, target Knowledge graph Shao et al 44 Chemical substructure, semantic information Transformer Feng et al 45 Chemical substructure Attention…”