A Survey on Drug Target Interaction Prediction Methods Analysis of Prediction Mechanisms for Drug Target Discovery
In Modern drug discovery, identifying drug target interactions is having high significance in terms of suggesting new drug candidates and repositioning old drugs. Prediction of drug target interactions can be done by experimentally and it is very expensive and time consuming. Therefore, there is a continuous demand for effective and low cost computational techniques for drug target interaction prediction. Many algorithms have been formulated to infer novel drug target interactions. In this paper, we make a survey on the recent progress being made on computational methodologies that have been developed to predict drug targets based on different kinds of drug and protein data.