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.
The concept of maximum occurrence (MO), i.e., the maximum percent of time that flexible proteins can spend in any given conformation, is introduced, and a rigorous method is developed to extensively sample the conformational space and to construct MO maps from experimental data. The method is tested in a case study, the flexible two-domain protein calmodulin (CaM), using SAXS and NMR data (i.e., pseudocontact shifts and self-orientation residual dipolar couplings arising from the presence of paramagnetic lanthanide ions), revealing that the "closed" and "fully extended" conformations trapped in the crystalline forms of CaM have MOs of only 5 and 15%, respectively. Compact conformations in general have small MOs, whereas some extended conformations have MO as high as 35%, strongly suggesting these conformations to be most abundant in solution. The method is universally applicable as it requires only standard SAXS data and specific NMR data on lanthanide derivatives of the protein (using native metal sites or lanthanide tagging). The computer program is publicly available using the grid computing infrastructure through the authors' Web portal.
The WeNMR (http://www.wenmr.eu) project is an EU-funded international effort to streamline and automate structure determination from Nuclear Magnetic Resonance (NMR) data. Conventionally calculation of structure requires the use of various softwares, considerable user expertise and ample computational resources. To facilitate the use of NMR spectroscopy in life sciences the eNMR/WeNMR consortium has set out to provide protocolized services through easy-to-use web interfaces, while still retaining sufficient flexibility to handle more specific requests. Thus far, a
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