1. Methods for Discovering and Targeting Druggable Protein-Protein Interfaces and Their Application to Repurposing E. Sila Ozdemir, Farideh Halakou, Ruth Nussinov, Attila Gursoy, and Ozlem Keskin 2. Performing an In Silico Repurposing of Existing Drugs by Combining Virtual Screening and Molecular Dynamics Simulation Farzin Sohraby, Milad Bagheri, and Hassan Aryapour 3. Repurposing Drugs Based on Evolutionary Relationships between Targets of Approved Drugs and Proteins of Interest Sohini Chakraborti, Gayatri Ramakrishnan, and Narayanaswamy Srinivasan 4. Drug Repositioning by Mining Adverse Event Data in ClinicalTrials.gov Eric Wen Su 5. Transcriptomic Data Mining and Repurposing for Computational Drug Discovery Yunguan Wang, Jaswanth Yella, and Anil G. Jegga 6. Network-Based Drug-Repositioning: Approaches, Resources, and Research Directions Salvatore Alaimo and Alfredo Pulvirenti 7. A Computational Bipartite-Graph-Based Drug Repurposing Method Si Zheng, Hetong Ma, Jiayang Wang, and Jiao Li 8. Implementation of a Pipeline Using Disease-Disease Associations for Computational Drug Repurposing Preethi Balasundaram, Rohini Kanagavelu, Nivya James, Sayoni Maiti, Shanthi Veerappapillai, and Ramanathan Karuppaswamy 9. An Application of Computational Drug Repurposing Based on Transcriptomic Signatures Evangelos Karatzas, George Kolios, and George M. Spyrou 10. Drug-Induced Expression-Based Computational Repurposing of Small Molecules Affecting Transcription Factor Activity Kaitlyn Gayvert and Olivier Elemento 11. A Drug Repurposing Method Based on Drug-Drug Interaction Networks and Using Energy Model Layouts Mihai Udrescu and Lucre ia Udrescu 12. Integrating Biological Networks for Drug Target Prediction and Prioritization Xiao Ji, Johannes M. Freudenberg, and Pankaj Agarwal 13. Using Drug Expression Profiles and Machine Learning Approach for Drug Repurposing Kai Zhao and Hon-Cheong So 14. Computational Prediction of Drug-Target Interactions via Ensemble Learning Ali Ezzat, Min Wu, Xiaoli Li, and Chee-Keong Kwoh 15. A Machine-Learning-Based Drug Repurposing Approach Using Baseline Regularization Zhaobin Kuang, Yujia Bao, James Thomson, Michael Caldwell, Peggy Peissig, Ron Stewart, Rebecca Willett, and David Page 16. Machine Learning Approach for Predicting New Uses of Existing Drugs and Evaluation of Their Reliabilities Yutaka Fukuoka 17. A Drug-Target Network-Based Supervised Machine Learning Repurposing Method Allowing the Use of Multiple Heterogeneous Information Sources André C.A. Nascimento, Ricardo B.C. Prudêncio, and Ivan G. Costa 18. Heter-LP: A Heterogeneous Label Propagation Method for Drug Repositioning Maryam Lotfi Shahreza, Nasser Ghadiri, and James Green 19. Tripartite Network-Based Repurposing Method Using Deep Learning to Compute Similarities for Drug-Target Prediction Nansu Zong, Rachael Sze Nga Wong, and Victoria Ngo leírás elrejtése