Figure 5.

The flowchart for multiple-molecule drug design of COVID-19-associated ARDS and non-viral ARDS. In the right column, the drug–target interaction data are obtained from drug–target interaction databases to construct drug-target pair data. After data preprocessing, these data are divided into training data and testing data to train the DNN-DTI model for the trained DNN-DTI model in the left column. In the left column, the feature vectors of biomarkers and the feature vectors of drugs from drug–target interaction databases consist of drug-target feature pairs and are mounted into the trained DNN-DTI model to predict potential drugs for these biomarkers (drug targets). Then, these potential drugs are filtered by five drug design specifications to obtain candidate drugs as multiple-molecule drugs for COVID-19-associated ARDS and non-viral ARDS.