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Exscalate4CoV: High-Performance Computing for COVID Drug Discovery (SpringerBriefs in Applied Sciences and Technology) (Original PDF from Publisher)

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Publisher PDF , 10.6 MB

exscalate4cov high performance computing for covid drug discovery springerbriefs in applied sciences and technology original pdf from publisher 645a4813b1151 | Medical Books & CME Courses

Product Title: Exscalate4CoV: High-Performance Computing for COVID Drug Discovery (SpringerBriefs in Applied Sciences and Technology) (Original PDF from Publisher)

Format:

Publisher PDF, 10.6 MB

Overview (Details, Topics and Speakers):

By Silvano Coletti, Gabriella Bernardi

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.

 

Product Details

  • Publisher ‏ : ‎ Springer; 1st ed. 2023 edition (May 3, 2023)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 103 pages
  • ISBN-10 ‏ : ‎ 3031306902
  • ISBN-13 ‏ : ‎ 978-3031306907

Delivery Method

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