A hybrid ensemble-based technique for predicting drug-target interactions.

Drug-target interaction is the intercommunication between chemical drugs and target proteins to produce any kind of change in the human body. The laboratory experiments conducted to recognize these potential intercommunications are costly and tedious. Various computational methods have been established recently, including the chemogenomic approach for identifying drug-target intercommunication, that integrates the chemical data of the drugs and the genomic properties of the proteins for identifying the interactions between them.

A comprehensive review of computational techniques for the prediction of drug side effects.

Drugs refer to the chemical compounds that are consumed by the human body and induce a change by interacting with the protein targets. The drugs may induce favorable or unfavorable changes in the human body. The unfavorable changes that are elicited by the drugs in the human body are known as drug side effects.

A comprehensive review of feature based methods for drug target interaction prediction.

Drug target interaction is a prominent research area in the field of drug discovery. It refers to the recognition of interactions between chemical compounds and the protein targets in the human body. Wet lab experiments to identify these interactions are expensive as well as time consuming.