Summary
Today digital revolution is having a dramatic impact on the pharmaceutical industry and the entire healthcare system.
The implementation of machine learning, extreme scale computer simulations, and big data analytics in the drug design and development process offer an excellent opportunity to lower the risk of investment and reduce the time to patient.
In LIGATE, we aim to integrate and co-design best in class European open-source components together with proprietary (European) IPs (whose development has already been co-funded by previous H2020 projects) to keep worldwide leadership on Computer-Aided Drug Design (CADD) solutions exploiting today high-end supercomputer and tomorrow Exascale resources, fostering the European competitiveness in this field.
The proposed LIGATE solution, in a fully integrated workflow, enables to deliver the result of a drug design campaign with the highest speed along with the highest accuracy; further implementing the auto-tuning the parameters of the solutions to meet the time and resource constraints. This predictability, together with the fully automation of the solution and the availability of the Exascale system, will let run the full in silico drug discovery campaign in less than one day to respond promptly for example to worldwide pandemic crisis.
Since the evolution of HPC architectures is heading toward specialization and extreme heterogeneity, including future Exascale architectures, the LIGATE solution focuses also on code portability with the possibility to deploy the CADD platform on any available type of architecture in order not to have a legacy in the hardware.
The project plans to make the platform available and open to support the discovery a novel treatment to fight virus infections and multidrug-resistant bacteria. The project will also make available to the research community the outcome of a final simulation.
The implementation of machine learning, extreme scale computer simulations, and big data analytics in the drug design and development process offer an excellent opportunity to lower the risk of investment and reduce the time to patient.
In LIGATE, we aim to integrate and co-design best in class European open-source components together with proprietary (European) IPs (whose development has already been co-funded by previous H2020 projects) to keep worldwide leadership on Computer-Aided Drug Design (CADD) solutions exploiting today high-end supercomputer and tomorrow Exascale resources, fostering the European competitiveness in this field.
The proposed LIGATE solution, in a fully integrated workflow, enables to deliver the result of a drug design campaign with the highest speed along with the highest accuracy; further implementing the auto-tuning the parameters of the solutions to meet the time and resource constraints. This predictability, together with the fully automation of the solution and the availability of the Exascale system, will let run the full in silico drug discovery campaign in less than one day to respond promptly for example to worldwide pandemic crisis.
Since the evolution of HPC architectures is heading toward specialization and extreme heterogeneity, including future Exascale architectures, the LIGATE solution focuses also on code portability with the possibility to deploy the CADD platform on any available type of architecture in order not to have a legacy in the hardware.
The project plans to make the platform available and open to support the discovery a novel treatment to fight virus infections and multidrug-resistant bacteria. The project will also make available to the research community the outcome of a final simulation.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/956137 |
| Start date: | 01-01-2021 |
| End date: | 30-04-2024 |
| Total budget - Public funding: | 5 938 656,00 Euro - 2 612 060,00 Euro |
Cordis data
Original description
Today digital revolution is having a dramatic impact on the pharmaceutical industry and the entire healthcare system.The implementation of machine learning, extreme scale computer simulations, and big data analytics in the drug design and development process offer an excellent opportunity to lower the risk of investment and reduce the time to patient.
In LIGATE, we aim to integrate and co-design best in class European open-source components together with proprietary (European) IPs (whose development has already been co-funded by previous H2020 projects) to keep worldwide leadership on Computer-Aided Drug Design (CADD) solutions exploiting today high-end supercomputer and tomorrow Exascale resources, fostering the European competitiveness in this field.
The proposed LIGATE solution, in a fully integrated workflow, enables to deliver the result of a drug design campaign with the highest speed along with the highest accuracy; further implementing the auto-tuning the parameters of the solutions to meet the time and resource constraints. This predictability, together with the fully automation of the solution and the availability of the Exascale system, will let run the full in silico drug discovery campaign in less than one day to respond promptly for example to worldwide pandemic crisis.
Since the evolution of HPC architectures is heading toward specialization and extreme heterogeneity, including future Exascale architectures, the LIGATE solution focuses also on code portability with the possibility to deploy the CADD platform on any available type of architecture in order not to have a legacy in the hardware.
The project plans to make the platform available and open to support the discovery a novel treatment to fight virus infections and multidrug-resistant bacteria. The project will also make available to the research community the outcome of a final simulation.
Status
SIGNEDCall topic
EuroHPC-03-2019Update Date
27-10-2022
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H2020-EU.2.1.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
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Organisations
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| DOMPE FARMACEUTICI SPA (Coördinator)
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| CHELONIA SA
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| CONSORZIO INTERUNIVERSITARIO CINECA
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| E 4 COMPUTER ENGINEERING SPA
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| KUNGLIGA TEKNISKA HOEGSKOLAN
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| PH3 GMBH
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| Politecnico di Milano
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| TOFMOTION GMBH
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| UNIVERSITA DEGLI STUDI DI SALERNO
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| UNIVERSITAET INNSBRUCK
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| UNIVERSITAT BASEL
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| VYSOKA SKOLA BANSKA - TECHNICKA UNIVERZITA OSTRAVA