Computational Methods for Drug Repurposing
Humana Press Inc. (Verlag)
978-1-4939-8954-6 (ISBN)
Authoritative and practical, Computational Methods for Drug Repurposing serves as an ideal guide to researchers interested in this vital area of drug development.
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.
Erscheinungsdatum | 06.02.2019 |
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Reihe/Serie | Methods in Molecular Biology ; 1903 |
Zusatzinfo | 82 Illustrations, color; 21 Illustrations, black and white; XI, 332 p. 103 illus., 82 illus. in color. With online files/update. |
Verlagsort | Totowa, NJ |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Informatik ► Weitere Themen ► Bioinformatik | |
Medizin / Pharmazie ► Pharmazie | |
Naturwissenschaften ► Biologie ► Allgemeines / Lexika | |
Naturwissenschaften ► Biologie ► Biochemie | |
Naturwissenschaften ► Chemie ► Technische Chemie | |
Technik | |
Schlagworte | Algorithm adaptation • Alternative indications for drugs • drug discovery • In silico methods • Pharmaceutical development |
ISBN-10 | 1-4939-8954-5 / 1493989545 |
ISBN-13 | 978-1-4939-8954-6 / 9781493989546 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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