The task of predicting the interactions between drugs and targets plays a key role in the
process of drug discovery. There is a need to develop novel and efficient prediction …

The identification of interactions between drugs/compounds and their targets is crucial for
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …

SwissTargetPrediction is a web tool, on-line since 2014, that aims to predict the most
probable protein targets of small molecules. Predictions are based on the similarity principle …

Motivation In bioinformatics, machine learning-based methods that predict the compound–
protein interactions (CPIs) play an important role in the virtual screening for drug discovery …

Abstract Extracellular Vesicles (EVs), particularly exosomes, recently exploded into
nanomedicine as an emerging drug delivery approach due to their superior biocompatibility …

Computational prediction of the interaction between drugs and targets is a standing
challenge in the field of drug discovery. A number of rather accurate predictions were …

Identification of drug–target interactions is an important process in drug discovery. Although
high-throughput screening and other biological assays are becoming available …

Identifying drug-target interactions will greatly narrow down the scope of search of candidate
medications, and thus can serve as the vital first step in drug discovery. Considering that in …

The identification of drug-target interactions (DTIs) is a key task in drug discovery, where
drugs are chemical compounds and targets are proteins. Traditional DTI prediction methods …

Experimental drug development is time-consuming, expensive and limited to a relatively
small number of targets. However, recent studies show that repositioning of existing drugs …