Membrane proteins play crucial physiological roles in vivo and are the major category of
drug targets for pharmaceuticals. The research on membrane protein is a significant part in the drug
discovery. The biological process is a cycled network, and the membrane protein is a vital hub in the
network since most drugs achieve the therapeutic effect via interacting with the membrane protein. In
this review, typical membrane protein targets are described, including GPCRs, transporters and ion
channels. Also, we conclude network servers and databases that are referring to the drug, drug-target
information and their relevant data. Furthermore, we chiefly introduce the development and practice
of modern medicines, particularly demonstrating a series of state-of-the-art computational models for
the prediction of drug-target interaction containing network-based approach and machine-learningbased
approach as well as showing current achievements. Finally, we discuss the prospective orientation
of drug repurposing and drug discovery as well as propose some improved framework in bioactivity
data, created or improved predicted approaches, alternative understanding approaches of drugs bioactivity
and their biological processes.
Keywords: Membrane Protein, Drug Targets, Drug Discovery, Computational Biology, Machine Learning, Biological Networks.
Rights & PermissionsPrintExport