TY  - GEN
N2  - 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 publicprivate 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.
DO  - 10.1007/978-3-031-30691-4
DO  - doi
AB  - 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 publicprivate 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.
T1  - Exscalate4CoV :high-performance computing for COVID drug discovery /
DA  - 2023.
CY  - Cham :
AU  - Coletti, Silvano.
AU  - Bernardi, Gabriella.
CN  - RS420
PB  - Springer,
PP  - Cham :
PY  - 2023.
N1  - 10.2.1 Final Objectives and Anticipated Outcomes
ID  - 1467751
KW  - Drugs
KW  - COVID-19 (Disease)
KW  - High performance computing.
KW  - Artificial intelligence
SN  - 9783031306914
SN  - 3031306910
TI  - Exscalate4CoV :high-performance computing for COVID drug discovery /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-30691-4
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-30691-4
ER  -