Computational Methods for Drug Repurposing

Methods for Discovering and Targeting Druggable Protein-Protein Interfaces and Their Application to Repurposing.- Performing an In Silico Repurposing of Existing Drugs by Combining Virtual Screening and Molecular Dynamics Simulation.- Repurposing Drugs Based on Evolutionary Relationships between Targets of Approved Drugs and Proteins of Interest.- Drug Repositioning by Mining Adverse Event Data in ClinicalTrials.gov.- Transcriptomic Data Mining and Repurposing for Computational Drug Discovery.- Network-Based Drug-Repositioning: Approaches, Resources, and Research Directions.- A Computational Bipartite-Graph-Based Drug Repurposing Method.- Implementation of a Pipeline Using Disease-Disease Associations for Computational Drug Repurposing.- An Application of Computational Drug Repurposing Based on Transcriptomic Signatures.- Drug-Induced Expression-Based Computational Repurposing of Small Molecules Affecting Transcription Factor Activity.- A Drug Repurposing Method Based on Drug-DrugInteraction Networks and Using Energy Model Layouts.- Integrating Biological Networks for Drug Target Prediction and Prioritization.- Using Drug Expression Profiles and Machine Learning Approach for Drug Repurposing.- Computational Prediction of Drug-Target Interactions via Ensemble Learning.- A Machine-Learning-Based Drug Repurposing Approach Using Baseline Regularization.- Machine Learning Approach for Predicting New Uses of Existing Drugs and Evaluation of Their Reliabilities.- A Drug-Target Network-Based Supervised Machine Learning Repurposing Method Allowing the Use of Multiple Heterogeneous Information Sources.- Heter-LP: A Heterogeneous Label Propagation Method for Drug Repositioning.- Tripartite Network-Based Repurposing Method Using Deep Learning to Compute Similarities for Drug-Target Prediction.