4.6 Article

Structural Biology in the Clouds: The WeNMR-EOSC Ecosystem

Journal

FRONTIERS IN MOLECULAR BIOSCIENCES
Volume 8, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fmolb.2021.729513

Keywords

structural biology; distributed computing; web portal; e-infrastructure; web services

Funding

  1. Horizon 2020 projects EOSC-hub [777536]
  2. EGI-ACE [101017567]
  3. BioExcel [823830, 675728]
  4. NWO-ENW [2019.053]

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Structural biology focuses on studying the structural and dynamic properties of biological macromolecules at atomic level, which is crucial for understanding cellular processes and has applications in health and food sciences. The WeNMR project has provided web-based services and high throughput computing infrastructure to over 23,000 users worldwide for 10 years, facilitating complex workflows in structural biology research.
Structural biology aims at characterizing the structural and dynamic properties of biological macromolecules at atomic details. Gaining insight into three dimensional structures of biomolecules and their interactions is critical for understanding the vast majority of cellular processes, with direct applications in health and food sciences. Since 2010, the WeNMR project (www.wenmr.eu) has implemented numerous web-based services to facilitate the use of advanced computational tools by researchers in the field, using the high throughput computing infrastructure provided by EGI. These services have been further developed in subsequent initiatives under H2020 projects and are now operating as Thematic Services in the European Open Science Cloud portal (www.eosc-portal.eu), sending >12 millions of jobs and using around 4,000 CPU-years per year. Here we review 10 years of successful e-infrastructure solutions serving a large worldwide community of over 23,000 users to date, providing them with user-friendly, web-based solutions that run complex workflows in structural biology. The current set of active WeNMR portals are described, together with the complex backend machinery that allows distributed computing resources to be harvested efficiently.

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