Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic

@article{Fakhraei2014NetworkBasedDI,
  title={Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic},
  author={Shobeir Fakhraei and Bert Huang and L. Raschid and L. Getoor},
  journal={IEEE/ACM Transactions on Computational Biology and Bioinformatics},
  year={2014},
  volume={11},
  pages={775-787}
}
Drug-target interaction studies are important because they can predict drugs' unexpected therapeutic or adverse side effects. In silico predictions of potential interactions are valuable and can focus effort on in vitro experiments. We propose a prediction framework that represents the problem using a bipartite graph of drug-target interactions augmented with drug-drug and target-target similarity measures and makes predictions using probabilistic soft logic (PSL). Using probabilistic rules in… Expand
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References

Combining Drug and Gene Similarity Measures for Drug-Target Elucidation