We implemented two network algorithms in this package NBI and RWR. Cheng \cite{bib9} developed a technique based on Network Based Inference (NBI) and developed three supervised methods on drug similarity, target similarity and network topology and showed superior performance of network topology based method. Alaimo \cite{bib10} extended Cheng’s method to integrate chemical and target similarity and showed that that the performance of the method is superior to Cheng’s model. Chen \cite{bib11} and Seal \cite{bib12} have used random walk with restart (RWR) based method to predict drug target interactions on a heterogeneous network made up of drug-drug similarity, protein-protein similarity and bipartite graph between drugs and targets. Seal et al. have extended the method by optimizing  a parameter $\eta$ which showed that the performance of RWR is independent of the choice of using Chemical fingerprint features.