Overview
- Offers a comprehensive view of one of most important efforts in the research of drugs against the SARS-CoV-2 virus
- Shows the different efforts from a multidisciplinary point of view
- Provides an in-depth explanation of one of the most important cases of Urgent Computing
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
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About this book
This book highlights the different aspects of the research project “E4C Horizon 2020 European Project” aimed at fighting the coronavirus by combining the best supercomputing resources and artificial intelligence with state-of-the-art experimental facilities up through clinical validation.
Coronavirus disease has become an important public issue across the globe since December 2019. There is an urgent need to develop potent anti-COVID-19 agents for the prevention of the outbreak and stop viral infections.
To this aim, a public–private consortium composed by European and national infrastructures, center of excellence, universities, and a pharmaceutical company started the E4C Horizon 2020 European
Project: Its core idea was to use the EXaSCale smArt pLatform Against paThogEns (EXSCALATE) supercomputing platform for a process known as “drug repurposing”, namely to identify the most promising safe in man drugs for immediate treatment of the already infected population and then novel pan-coronavirus inhibitors to address future emergencies.
This ambitious goal exploited a “chemical library” of 500 billion molecules, thanks to a processing capacity of more than 3 million molecules per second, made available by the computing power of the EXSCALATE platform.
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Keywords
Table of contents (10 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
About the editors
Silvano Coletti is the founder and the CEO of Chelonia SA and completed laurea degree in Industrial Engineering. Mr. Coletti is the former adjunct professor of “Global Entrepreneurship” at Franklin University Switzerland (Lugano). Educated at Harvard Business School (USA), Silvano Coletti is a serial entrepreneur in life sciences and energy industries. He was a fellow at École Polytechnique Fédérale de Lausanne and Université Libre de Bruxelles where, at the end of 90s, he was invited from Nobel Laureate Prof. Ilya Prigogine studying thermodynamics of nonlinear systems. His professional credentials span over 25 years of company strategy and business development. Coletti serves as an advisor to senior executives at leading companies throughout the world and has served on the Board of Directors and Advisory Boards of listed corporations and startup companies and also the former United Nations delegate in New York headquarters on behalf of the largest pan-African NGO.
Gabriella Bernardi is a freelance journalist and writer. She graduated in physics from the University of Turin and also holds a master’s degree in Journalism and Science Communication. She was awarded the Voltolino Prize for scientific journalism by the Italian Union of Scientific Journalists (UGIS). Since 2008, she has been a member of the European Union of Science Journalists’ Association (EUSJA). She is a member of the International Astronomical Union (IAU); she also serves on the Executive Committee Working Group “Women in Astronomy”. She has published in several newspapers and magazines that specialize in the popularization of astronomy and is the author of six astronomy books, three of which are in English and published by Springer. She collaborates with Chelonia SA as the social media manager for the Exscalate4CoV and LIGATE projects.
Bibliographic Information
Book Title: Exscalate4CoV
Book Subtitle: High-Performance Computing for COVID Drug Discovery
Editors: Silvano Coletti, Gabriella Bernardi
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-031-30691-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-30690-7Published: 03 May 2023
eBook ISBN: 978-3-031-30691-4Published: 02 May 2023
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XVII, 86
Number of Illustrations: 2 b/w illustrations, 17 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Health Informatics, Simulation and Modeling, Biochemistry, general, Computational Intelligence, Chemistry/Food Science, general