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

1. A Drug Repurposing Method Based on Drug-Drug Interaction Networks and Using Energy Model Layouts

Mihai Udrescu and Lucre ia Udrescu

1. Integrating Biological Networks for Drug Target Prediction and Prioritization

Xiao Ji, Johannes M. Freudenberg, and Pankaj Agarwal

1. Using Drug Expression Profiles and Machine Learning Approach for Drug Repurposing

Kai Zhao and Hon-Cheong So

1. Computational Prediction of Drug-Target Interactions via Ensemble Learning Ali Ezzat, Min Wu, Xiaoli Li, and Chee-Keong Kwoh

2. 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

1. Machine Learning Approach for Predicting New Uses of Existing Drugs and Evaluation of Their Reliabilities

Yutaka Fukuoka

1. 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

1. Heter-LP: A Heterogeneous Label Propagation Method for Drug Repositioning

Maryam Lotfi Shahreza, Nasser Ghadiri, and James Green

1. Tripartite Network-Based Repurposing Method Using Deep Learning to Compute Similarities for Drug-Target Prediction

Nansu Zong, Rachael Sze Nga Wong, and Victoria Ngo