Title:
Exscalate4CoV High-Performance Computing for COVID Drug Discovery
Author:
Coletti, Silvano. editor.
ISBN:
9783031306914
Edition:
1st ed. 2023.
Physical Description:
XVII, 86 p. 19 illus., 17 illus. in color. online resource.
Series:
SpringerBriefs in Applied Sciences and Technology,
Contents:
Preface (Arieh Warshel) -- Acknowledgments -- How should this text be read -- Chapter 1 Introduction (Silvano Coletti, Marcello Allegretti) -- Chapter 2 A European Drug Discovery Platform: From In Silico to Experimental Validation (Gianluca Palermo, Daniela Iaconis, Philip Gribbon) -- Chapter 3 The Drug Repurposing Strategy in the Exscalate4CoV Project: Raloxifene Clinical Trials (Andrea Beccari, Lamberto Dionigi, Emanuele Nicastri, Candida Manelfi, Elizabeth Gavioli) -- Chapter 4 The High-Performance Computing Resources for the Exscalate4CoV Project (Andrew Emerson, Federico Ficarelli, Gianluca Palermo, Freancesco Frigerio) -- Chapter 5 The Impact of the Scientific Metaverse on the Biotech Industry: How Virtual Reality Helped Researchers Fight Back Against COVID-19 (Carmine Talarico, Edgardo Leija) -- Chapter 6 From Genome to Variant Interpretation Through 3D Protein Structures (Janani Durairaj, Leila Tamara Alexander, Gabriel Studer, Gerardo Tauriello, Ingrid Guarnetti Prandi, Rosalba Lepore, Giovanni Chillemi, Torsten Schwede) -- Chapter 7 The Role of Structural Biology Task Force: Validation of the Binding Mode of Repurposed Drugs Against SARS-CoV-2 Protein Targets (Paola Storici, Elisa Costanzi, Stefano Morasso) -- Chapter 8 Drug Discovery and Big Data: From Research to the Community (Luca Barbanotti, Marta Cicchetti, Gaetano Varriale) -- Chapter 9 Exploiting Drug Discovery Research for Educational Purposes (Giuliana Catara, Cristina Rigutto) -- Chapter 10 Beyond the Exscalate4CoV Project: LIGATE and REMEDI4ALL Projects (Carmine Talarico, Davide Graziani, Andrea R. Beccari) -- Conclusion (Thomas Skordas).
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Electronic Access:
https://doi.org/10.1007/978-3-031-30691-4Copies:
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