Multi-target drug discovery using system polypharmacology-state of the art

Nowadays the aim of drug discovery has moved from one-target one-drug model to a new multi-target multi-drug model for modulating multiple targets, with the growing understanding of complex diseases. Identification of the interaction between drugs and target proteins plays an important role in genomie drug discovery, in order to discover new drugs or new targets for existing drugs. Due to the laborious and costly experimental process of drug-target interaction prediction, in silico prediction could be an efficient way of providing useful information in supporting experimental interaction data. This paper discusses the current state of multi-target drug discovery following the paradigm of systems pharmacology, which describes a field of study that uses computational and experimental approaches for the processes of drug discovery and reveal their advantages over traditional methods.