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{ "item_title" : "Computational Methods for Drug Repurposing", "item_author" : [" Quentin Vanhaelen "], "item_description" : "1. Methods for Discovering and Targeting Druggable Protein-Protein Interfaces and Their Application to RepurposingE. Sila Ozdemir, Farideh Halakou, Ruth Nussinov, Attila Gursoy, and Ozlem Keskin2. Performing an In Silico Repurposing of Existing Drugs by Combining Virtual Screening and Molecular Dynamics SimulationFarzin Sohraby, Milad Bagheri, and Hassan Aryapour3. Repurposing Drugs Based on Evolutionary Relationships between Targets of Approved Drugs and Proteins of InterestSohini Chakraborti, Gayatri Ramakrishnan, and Narayanaswamy Srinivasan4. Drug Repositioning by Mining Adverse Event Data in ClinicalTrials.govEric Wen Su5. Transcriptomic Data Mining and Repurposing for Computational Drug Discovery Yunguan Wang, Jaswanth Yella, and Anil G. Jegga6. Network-Based Drug-Repositioning: Approaches, Resources, and Research DirectionsSalvatore Alaimo and Alfredo Pulvirenti7. A Computational Bipartite-Graph-Based Drug Repurposing MethodSi Zheng, Hetong Ma, Jiayang Wang, and Jiao Li8. Implementation of a Pipeline Using Disease-Disease Associations for Computational Drug RepurposingPreethi Balasundaram, Rohini Kanagavelu, Nivya James, Sayoni Maiti, Shanthi Veerappapillai, and Ramanathan Karuppaswamy9. An Application of Computational Drug Repurposing Based on Transcriptomic SignaturesEvangelos Karatzas, George Kolios, and George M. Spyrou10. Drug-Induced Expression-Based Computational Repurposing of Small Molecules Affecting Transcription Factor ActivityKaitlyn Gayvert and Olivier Elemento11. A Drug Repurposing Method Based on Drug-Drug Interaction Networks and Using Energy Model LayoutsMihai Udrescu and Lucreția Udrescu12. Integrating Biological Networks for Drug Target Prediction and PrioritizationXiao Ji, Johannes M. Freudenberg, and Pankaj Agarwal13. Using Drug Expression Profiles and Machine Learning Approach for Drug RepurposingKai Zhao and Hon-Cheong So14. Computational Prediction of Drug-Target Interactions via Ensemble Learning Ali Ezzat, Min Wu, Xiaoli Li, and Chee-Keong Kwoh15. A Machine-Learning-Based Drug Repurposing Approach Using Baseline RegularizationZhaobin Kuang, Yujia Bao, James Thomson, Michael Caldwell, Peggy Peissig, Ron Stewart, Rebecca Willett, and David Page16. Machine Learning Approach for Predicting New Uses of Existing Drugs and Evaluation of Their Reliabilities ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/49/398/954/1493989545_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computational Methods for Drug Repurposing|Quentin Vanhaelen

Computational Methods for Drug Repurposing

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Overview

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 Lucreția 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

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Details

  • ISBN-13: 9781493989546
  • ISBN-10: 1493989545
  • Publisher: Humana
  • Publish Date: December 2018
  • Dimensions: 10 x 7 x 0.81 inches
  • Shipping Weight: 1.8 pounds
  • Page Count: 332

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