BioinformaticsbioRxivPreprint
TarDict: RandomForestClassifier-based software predict Drug-Tartget interaction in human Based on drug simplified molecular-input line-entry system (SMILES)
Peter Tharwat Habib, Alsamman M. Alsamman, Sameh E. Hassanein, Aladdin Hamwieh
TarDict predicts drug-target interactions using SMILES data with 95% accuracy by leveraging a RandomForestClassifier trained on 20442 entries.