Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Computational Methods for Drug Repurposing -

Computational Methods for Drug Repurposing

Quentin Vanhaelen (Herausgeber)

Buch | Hardcover
332 Seiten
2018 | 1st ed. 2019
Humana Press Inc. (Verlag)
978-1-4939-8954-6 (ISBN)
CHF 267,95 inkl. MwSt
  • Versand in 10-15 Tagen
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken
This detailed book explores techniques commonly used for research into drug repurposing, a well-known strategy to find alternative indications for drugs which have already undergone toxicology and pharma-kinetic studies but have failed later stages during the development, via computational methods. Thereby, it addresses the intense challenges of identifying the appropriate type of algorithm and relevant technical information for computational repurposing. Written for the highly successful Methods in Molecular Biology series, the authors of each chapter use their experience in the field to describe the implementation and successful use of a specific repurposing method thus providing lab-ready instruction. 
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
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)
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich