Summary
After decades of development and a Nobel prize, Molecular Dynamics (MD) has reached maturity. It is no longer an exotic technique used by a small group of theoreticians but rather a method extensively used by a very large community of users. Millions of supercomputer hours are devoted to collecting trajectories, thus producing a deluge of simulation data that the community is unable to handle. A poor tradition of data sharing and the lack of appropriate infrastructures to do so lead to the loss of data after limited analysis that most likely revealed only a small fraction of the information contained. Sparse initiatives to build trajectory repositories have encountered difficulties related to: i) the lack of trust of the community in the reliability of the data deposited; ii) the lack of interoperable standards and simulation ontologies; iii) uncertainties regarding the database technology required; v) difficulties of the users to interact in an open manner with the data; and vi) disconnection of the MD-field with neighboring communities. The MDDB projects intends to design a European-scale repository of MD simulation (and associated analysis tools), which will: i) optimize computational resources; ii) favor the analysis (and meta-analysis) of trajectories for many different perspectives and fields; iii) guarantee a fast and efficient interchange of information between groups; and iv) facilitate the integration of the MD simulation field into neighboring communities. The overall result will be a more efficient use of MD and the integration of the MD field into mainstream biology and chemistry research.
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Web resources: | https://cordis.europa.eu/project/id/101094651 |
Start date: | 01-03-2023 |
End date: | 28-02-2026 |
Total budget - Public funding: | 2 649 627,50 Euro - 2 649 626,00 Euro |
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Original description
After decades of development and a Nobel prize, Molecular Dynamics (MD) has reached maturity. It is no longer an exotic technique used by a small group of theoreticians but rather a method extensively used by a very large community of users. Millions of supercomputer hours are devoted to collecting trajectories, thus producing a deluge of simulation data that the community is unable to handle. A poor tradition of data sharing and the lack of appropriate infrastructures to do so lead to the loss of data after limited analysis that most likely revealed only a small fraction of the information contained. Sparse initiatives to build trajectory repositories have encountered difficulties related to: i) the lack of trust of the community in the reliability of the data deposited; ii) the lack of interoperable standards and simulation ontologies; iii) uncertainties regarding the database technology required; v) difficulties of the users to interact in an open manner with the data; and vi) disconnection of the MD-field with neighboring communities. The MDDB projects intends to design a European-scale repository of MD simulation (and associated analysis tools), which will: i) optimize computational resources; ii) favor the analysis (and meta-analysis) of trajectories for many different perspectives and fields; iii) guarantee a fast and efficient interchange of information between groups; and iv) facilitate the integration of the MD simulation field into neighboring communities. The overall result will be a more efficient use of MD and the integration of the MD field into mainstream biology and chemistry research.Status
SIGNEDCall topic
HORIZON-INFRA-2022-DEV-01-01Update Date
09-02-2023
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